Name: 2018 Joint Statistical Meetings
Start: 2018-07-28T07:00:00+00:00
End: 2018-08-02
Location: Vancouver Convention Centre

Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme

Activity Details

5 * !	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-East 19
Strategic Planning and Vision Building for the Statistics Profession: Are Existing Databases Underutilized? — Invited Papers
Social Statistics Section, IMS, Conference Board of the Mathematical Sciences, SSC, Caucus for Women in Statistics
Organizer(s): Amanda L. Golbeck, University of Arkansas for Medical Sciences
Chair(s): Roy E. Welsch, Massachusetts Institute of Technology
2:05 PM	Seeing the Big Picture in, and Having More Influence on, the Statistics Profession from Your Vantage Point Presentation Amanda L. Golbeck, University of Arkansas for Medical Sciences
2:30 PM	Leading Toward Evidence-Based Educational Improvement Using the CBMS Survey Presentation Ellen E. Kirkman, Wake Forest University
2:55 PM	Stats on Stats: Statistical Sciences in the Annual Survey of the Mathematical Sciences Presentation Thomas Harold Barr, American Mathematical Society
3:20 PM	Discussant: Sally C. Morton, Virginia Tech
3:45 PM	Floor Discussion

6 * !	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 121
Recent Advance of Nonparametric and Semiparametric Techniques with Complex Data Structure — Invited Papers
Section on Nonparametric Statistics, ENAR, Biometrics Section, SSC
Organizer(s): Jiwei Zhao, State University of New York At Buffalo
Chair(s): Jiwei Zhao, State University of New York At Buffalo
2:05 PM	Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events Presentation Fei Gao, University of Washington; Donglin Zeng, UNC Chapel Hill; Danyu Lin, University of North Carolina
2:25 PM	Quantile-Optimal Treatment Regimes Lan Wang, University of Minnesota; Yu Zhou, University of Minnesota; Rui Song, North Carolina State University; Ben Sherwood, University of Kansas
2:45 PM	Semiparametric Theory for Causal Inference with Negative Controls Presentation Xu Shi, Harvard University; Wang Miao, Peking University; Eric Tchetgen Tchetgen, The Wharton School at the University of Pennsylvania
3:05 PM	A Profile Likelihood Approach to Semiparametric Estimation with Nonignorable Nonresponse Presentation Jae-kwang Kim, Iowa State University; Kosuke Morikawa, Osaka University ; Hejian Sang, Iowa State University
3:25 PM	Optimal Pseudolikelihood Estimation in Multivariate Missing Data with Nonignorable Nonresponse Presentation Jiwei Zhao, State University of New York At Buffalo; Yanyuan Ma, Penn State University
3:45 PM	Floor Discussion

10 * !	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 122
State Space Assessment Models for Complex Fisheries and Biological Data — Invited Papers
Canadian Statistical Sciences Institute, SSC
Organizer(s): Joanna Mills Flemming, Dalhousie University
Chair(s): William H Aeberhard, Dalhousie University
2:05 PM	State-Space Modeling Applications in Fisheries Science and Management Presentation Sean Patrick Cox, Simon Fraser University
2:30 PM	Non-Standard Model Building and Model Validation Examplified by Fish Stock Assessment Presentation Anders Nielsen, Technical University of Denmark
2:55 PM	Statistical Modeling of Animal Movement Presentation Louis-Paul Rivest, Université Laval
3:20 PM	Floor Discussion

11 * !	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 206/207
Daunting Challenges and Innovative Solutions for Big Data Analysis — Invited Papers
Section on Statistical Computing, Caucus for Women in Statistics, Section on Statistical Learning and Data Science, SSC, Social Statistics Section
Organizer(s): Nusrat Jahan, James Madison University
Chair(s): Nusrat Jahan, James Madison University
2:05 PM	Spatially Informed Variable Selection Priors and Application to Neuroimaging Data Presentation Marina Vannucci, Rice University
2:30 PM	Analysis and Visualization for Large-Scale Scientific Simulations Joanne R. Wendelberger, Los Alamos National Laboratory; Divya Banesh, Los Alamos National Laboratory; James Ahrens, Los Alamos National Laboratory
2:55 PM	Nonparametric Empirical Bayes Methods for High Dimension Problems Presentation Linda Zhao, University of Pennsylvania; Junhui Cai, University of Pennsylvania
3:20 PM	Data-Driven Regularization and Priors in GWAS and Mediation Analysis Presentation Sunduz Keles, University of Wisconsin, Madison
3:45 PM	Floor Discussion

23 * !	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 205
Recents Advances in Statistical Learning and Network Data Analysis — Topic Contributed Papers
Section on Statistical Learning and Data Science, SSC
Organizer(s): Sijian Wang, Rutgers University
Chair(s): Sijian Wang, Rutgers University
2:05 PM	High-dimensional Cost-constrained Regression via Non-convex Optimization Presentation Yufeng Liu, University of North Carolina at Chapel Hill
2:25 PM	Generalized Bias and Variance for Convex Regularized Estimators Presentation Pierre Bellec, Rutgers University
2:45 PM	High-Dimensional Gaussian Graphical Model for Network-Linked Data Presentation Ji Zhu, University of Michigan; Boang Liu, University of Michigan; Tianxi Li, University of Michigan; Cheng Qian, University of Michigan; Elizaveta Levina, University of Michigan
3:05 PM	Toward a Sampling Theory for Statistical Network Analysis Harry Crane, Rutgers
3:25 PM	Network Regression and Inference Presentation Peng Wang, University of Cincinnati; Xiaotong Shen, University of Minnesota
3:45 PM	Floor Discussion

28	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 208
SPEED: A Mixture of Topics in Health, Computing, and Imaging — Contributed Speed
Mental Health Statistics Section, Section on Statistical Computing, Section on Statistics in Imaging, Section on Statistical Learning and Data Science, SSC, Section on Physical and Engineering Sciences, Section for Statistical Programmers and Analysts
Chair(s): Lu Chen, Worcester Polytechnic Institute
Poster Presentations for this session.
2:05 PM	Remote Perconditioning Enhances Neuro Protection and Collateral Blood Flow During Ischemia in Distal Cerebral Ischemic Rat Model (MCAo) Through AMPK-ENOS Pathways Presentation Abdul Salam, Hamad Medical Corporation; Aijaz Parray, Hamad Medical Corporation; yonglie Ma, University of Alberta ; Naveed Akhter, Hamamd Medical Corporation; Sajitha VP, Hamad Medical Corporation; Ruth Priyanka, Hamamd Medical Corporation; Ian Winship, University of Alberta; Nosheen Shahid, Hamamd Medical Corporation; Ashfaq Shuaib, University of Alberta
2:10 PM	Polynomial Based Approximate Probability Distributions Chris Elrod, Baylor University; James Stamey, Baylor University
2:15 PM	Measurement Reliability in Mental Health Research: Critical Implications for Research Design and Analysis Alessandro De Nadai, Texas State University; Marieke Visser, Texas State University
2:30 PM	Tailoring PCA for Detecting Sparse Changes in Multi-Stream Data Presentation Martin Tveten, University of Oslo; Ingrid Kristine Glad, University of Oslo
2:35 PM	Ranked Sparsity Methods for Transparent Model Selection Presentation Ryan Andrew Peterson, University of Iowa; Joseph Cavanaugh, University of Iowa
2:40 PM	Image-On-Image Regression: a Spatial Bayesian Latent Factor Model for Predicting Task-Evoked Brain Activity Using Task-Free MRI Presentation Cui Guo, University of Michigan
2:45 PM	Fusion of the Semiparametric Models and Network Measures in the Study of Brain Dynamic Functional Connectivity Maria Kudela, Takeda Pharmaceuticals; Jaroslaw Harezlak, Indiana University Bloomington; Mario Dzemidzic, Indiana University School of Medicine; Brandon Oberlin, Indiana University School of Medicine; David A Kareken, Indiana University School of Medicine; Joaquin Goni, Purdue University
2:50 PM	Fast Generalised Linear Models in a Database Presentation Thomas Lumley, University of Auckland
3:00 PM	A Deep Learning Approach to the Estimation of Bias and Variance in HARDI Presentation Allison Hainline, Vanderbilt University; Hakmook Kang, Vanderbilt University Medical Center; Bennett Landman, Vanderbilt University
3:05 PM	Creating Counting Process Intervals with Ease Presentation Cynthia Crowson, Mayo Clinic; Terry M Therneau, Mayo Clinic; Elizabeth J Atkinson, Mayo Clinic
3:10 PM	Multi-Scale Vecchia Approximation of Gaussian Processes Presentation Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University

29	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 212
SPEED: An Ensemble of Advances in Genomics and Genetics — Contributed Speed
Section on Statistics in Genomics and Genetics, ENAR, SSC, Section on Risk Analysis, Section on Statistical Computing, Biometrics Section
Chair(s): Paul Little, UNC Chapel Hill
Poster Presentations for this session.
2:05 PM	Discrete Principal Component Analysis for Population Stratification Nedret Billor, Auburn University; Yuan Yuan, Auburn University; Asuman Seda Turkmen, The Ohio State University
2:10 PM	On Using Gene Genealogies to Find Trait-Influencing Variants Presentation Payman Nickchi, Simon Fraser University; Jinko Graham, Simon Fraser University
2:15 PM	A Hierarchical Bayesian Deconvolution Model for Inferring Immune Cell Components in Tumor Presentation An-Shun Tai, National Tsing Hua University
2:20 PM	A Hybrid Method of the Sequential Monte Carlo and the Edgeworth Expansion for Computation of Very Small P-Values in Permutation Tests James Jian Yang, University of Michigan; Anne YuhPey Buu, University of Michigan
2:25 PM	A Novel Framework for Differential Gene Expression Analysis Using Robust Profile Likelihood Ratios Presentation Lehang Zhong, Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto; Lisa Joanna Strug, Genetics and Genome Biology, The Hospital for Sick Children
2:30 PM	Empirical Bayes Analysis of Overdispersed High-Dimensional Protein Interaction Data Presentation Anna Reisetter
2:35 PM	An Efficient Resampling Method for Order-Restricted Gene-Trait Association Analysis Presentation Yeonil Kim, University of Florida; Yueh-Yun Chi, University of Florida; Fei Zou, University of North Carolina at Chapel Hill
2:40 PM	MHi-C: Robust Leveraging of Multi-Mapping Reads in Hi-C Analysis Presentation Ye Zheng, University of Wisconsin Madison; Ferhat Ay, La Jolla Institute for Allergy and Immunology; Sunduz Keles, University of Wisconsin, Madison
2:45 PM	A Method for Estimating SNP Heritability with Consideration of Variant Correlation and Non-Parametric Relationship Presentation Hsiao-Chi Liao, National Taiwan University; Chuhsing Kate Hsiao, National Taiwan University Institute of Epidemiology and Preventive Medicine
2:50 PM	A Nearly Optimal Sequential Testing Approach to Permutation-Based Association Testing Presentation Julian Hecker, Harvard T.H. Chan School of Public Health; Ingo Ruczinski, Bloomberg School of Public Health; Brent A. Coull, Harvard TH Chan School of Public Health; Christoph Lange, Harvard T.H. Chan School of Public Health
3:00 PM	P-Value Estimation for the Risk Score of a Prediction Model Presentation Heidi Chen, Vanderbilt University Medical Center; Ming Li, Case Western Reserve University; Huiyun Wu, St. Jude Children's Research Hospital; Yu Shyr, Vanderbilt University Medical Center
3:05 PM	Novel Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes Presentation Yun Zhang, University of Rochester; Xing Qiu, University of Rochester
3:10 PM	Statistical Learning on Next-Generation Sequencing of T Cell Repertoire Data Presentation Li Zhang, UCSF School of Medicine, UCSF; Tao He, San Francisco State University; Alan Paciorek, University of California, San Franciscornia ; Jason Cham, University of California, San Francisco; David Oh, University of California, San Francisco; Lawrence Fong, University of California, San Francisco
3:15 PM	An Integrative Bayesian Approach to Dissect Complex Trait Etiology Presentation Corbin Quick, University of Michigan
3:25 PM	Optimal Covariate Weighting Increases Discoveries in High-Throughput Biology Presentation Paul Schliekelman, University of Georgia; Mohamad Hasan, University of Georgia
3:30 PM	Statistical Approach for Investigating Change in Mutational Processes During Cancer Growth and Development Presentation Zhi Yang, University of Southern California; Priyatama Pandey, University of Southern California; Darryl Shibata, University of Southern California; Paul Southern Marjoram, University of Southern California; Kimberly Siegmund, University of Southern California
3:35 PM	Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis Presentation Wei Deng, University of Toronto; Radu V Craiu, University of Toronto
3:40 PM	Benford's Law Based Outliers Detection for Population Stratification in Genotype Data Yuan Yuan, Auburn University; Nedret Billor, Auburn University; Asuman Seda Turkmen, The Ohio State University
3:45 PM	A Tight Spectral Clustering Algorithm for Bipartite Networks with Node Covariates Presentation Yidan Sun

40	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 223
Recent Advances in Statistical Methods for Genome-Wide Association Studies — Contributed Papers
Section on Statistics in Genomics and Genetics, SSC
Chair(s): Josh Barback, Harvard T. H. Chan School of Public Health
2:05 PM	Brawn and Brains: a Robust and Powerful Approach to X-Inclusive Whole-Genome Association Studies Bo Chen, University of Toronto; Lei Sun, University of Toronto; Radu V Craiu, University of Toronto
2:20 PM	Literature-Guided Integration of Multiple GWAS Results Using Graph-GPA and DDNet Presentation Dongjun Chung, Medical University of South Carolina; Hang J. Kim, University of Cincinnati; Zhenning Yu, Medical University of South Carolina; Andrew B Lawson, Medical University of South Carolina ; Hongyu Zhao, Yale
2:35 PM	Cauchy Combination Test: a Powerful Test with Analytic P-Value Calculation Under Arbitrary Dependency Structures Presentation Yaowu Liu, Harvard School of Public Health; Jun Xie, Purdue University; Xihong Lin, Harvard University
2:50 PM	Leveraging Surrogate Phenotypes to Improve Inference on a Partially Missing Target Phenotype Presentation Zachary McCaw, Harvard School of Public Health; Xihong Lin, Harvard University
3:05 PM	A Genetic Association Test Robust to Arbitrary Population Structure Presentation Minsun Song, Sookmyung Women's University
3:20 PM	A Model-Based Clustering to Identify Disease-Associated SNPs Yan Xu, University of Victoria; Xuekui Zhang, University of Victoria; Weiliang Qiu, Brigham and Women's Hosptial/Harvard Medical School
3:35 PM	Floor Discussion

46 * !	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-West 121
Recent Advances in Cluster Analysis and Cluster Validation — Invited Papers
Section on Statistical Learning and Data Science, SSC
Organizer(s): Daniel Fernandez, Victoria University of Wellington
Chair(s): Alexander Foss, Sandia National Laboratories
4:05 PM	A Mixture of Matrix Variate Bilinear Factor Analyzers Paul McNicholas, McMaster University
4:30 PM	Clustering with Topic Models Presentation David Banks, Duke University
4:55 PM	Think Before You Cluster: Testing for Clusterability Presentation Naomi Brownstein, Florida State University; Margareta Ackerman, Santa Clara University; Andreas Adolfsson, Santa Clara University; Zachariah Neville, Florida State University
5:20 PM	Cluster Validation by Measurement of Clustering Characteristics Relevant to the User Presentation Christian Hennig, University College London
5:45 PM	Floor Discussion

49 * !	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-West 213
Skills to Leverage and Gaps to Fill to Thrive in Data Science — Invited Papers
Section on Statistical Consulting, Committee on Applied Statisticians, Section on Statistical Learning and Data Science, SSC, Quality and Productivity Section
Organizer(s): Eric Vance, LISA-University of Colorado Boulder
Chair(s): James L Rosenberger, NISS (National Institute of Statistical Sciences) and Penn State
4:05 PM	Communication and Collaboration Skills for the Era of Data Science Presentation Eric Vance, LISA-University of Colorado Boulder
4:30 PM	From Academia to Industry: Statistical Skills That Translate Olivia Lau, Google
4:55 PM	What Statisticians Need to Know to Work in Tech Michael Brundage, Google, Inc.
5:45 PM	Floor Discussion

54	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-West Ballroom A
The Good, the Bad, and the Ugly: The Future of Statistics and the Public — Invited Panel
International Statistical Institute, Government Statistics Section, Social Statistics Section, Survey Research Methods Section, SSC, Social Statistics Section, Caucus for Women in Statistics
Organizer(s): John Bailer, Miami University; Regina Nuzzo, Gallaudet University; Liberty Vittert, University of Glasgow
Chair(s): Liberty Vittert, University of Glasgow
4:05 PM	The Good, the Bad, and the Ugly: The Future of Statistics and the Public Presentation 1 Presentation 2
Panelists:	David Spiegelhalter, Royal Statistical Society Richard Coffin, USAFacts Mark Hansen, Columbia University & David and Helen Gurley Brown Institute for Media Innovation Scott Tranter, 0ptimus Consulting Rita Ko, The Hive, data initiative of UNHCR (UN Refugee Agency)
5:40 PM	Floor Discussion

56 * !	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-West 114
Novel Statistical Methods for Variable Selection with Applications — Topic Contributed Papers
Section on Nonparametric Statistics, Biometrics Section, International Chinese Statistical Association, SSC
Organizer(s): Xiangrong Yin, University of Kentucky
Chair(s): Xiangrong Yin, University of Kentucky
4:05 PM	Weak Signals in High-Dimension Regression: Detection, Estimation and Prediction Presentation Yi Li
4:25 PM	Partial Least Square: Theoretical Results for the Chemometrics Use of PLS Presentation Liliana Forzani, FACULTAD DE INGENIERIA QUIMICA; Dennis Cook, School of Statistics
4:45 PM	Sufficient Dimension Folding for Regressions with Matrix- or Array-Valued Predictors Wenhui Sheng
5:05 PM	Nonlinear Multivariate Functional PCA Presentation Jun Song, UNC Charlotte; Bing Li, The Pennsylvania State University
5:25 PM	Variable Selection in Semiparametric Transformation Cure Models with Right-Censored Data Wenyan Zhong
5:45 PM	Floor Discussion

61	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-East 14
Statistical Analysis of Complex-Valued MRI — Topic Contributed Papers
Section on Statistics in Imaging, SSC
Organizer(s): John Kornak, University of California, San Francisco
Chair(s): William Franz Lamberti, George Mason University
4:05 PM	Simulation of fMRI Data, a Complex-Valued Representation Presentation Kevin Liu, Marquette University; Daniel Rowe, Marquette University
4:25 PM	Bayesian Image Analysis in Fourier Space for MRI Data Presentation John Kornak, University of California, San Francisco; Karl Young, University of California, San Francisco (retired)
4:45 PM	Statistical Impacts of Reconstruction Method in Simultaneous Multislice Acquisition of fMRI Benjamin Risk, Emory University; Mary Kociuba, University of Washington; Daniel Rowe, Marquette University
5:05 PM	Bayesian Spatial Modeling via Kernel Convolutions on Complex-Valued fMRI Signals Cheng-Han Yu, UC Santa Cruz; Raquel Prado, University of California Santa Cruz, Baskin School of Engineering
5:25 PM	The Past, Present, and Future of Complex-Valued fMRI Activation Presentation Daniel Rowe, Marquette University
5:45 PM	Floor Discussion

63 *	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-West 215/216
Omics Data: Study Design, Power and Sample Size — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, SSC
Organizer(s): Kwang-Youn Kim, Northwestern University
Chair(s): Jungwha "Julia" Lee, Northwestern University
4:05 PM	Power Analysis for RNA-Seq in Single Cells Presentation Zhijin Wu, Brown University; Hao Wu, Emory University
4:25 PM	Multivariate FDR Control for Omics Data Integration Presentation Ali Shojaie, University of Washington; Kasra Alishahi, Sharif University of Technology; Ahmad Reza Ehyaee, Sharif University of Technology
4:45 PM	Sample Size and Power Analysis for RNA-Seq Differential Expression in Paired Study Designs Presentation Masha Kocherginsky, Northwestern University; Kwang-Youn Kim, Northwestern University ; Daniela E Matei, Northwestern University
5:05 PM	Power Calculation and Shrinkage in High-Throughput Screening Studies Presentation Noah Simon, University of Washington
5:25 PM	Floor Discussion

79	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-West 119
Statistical Analysis for Networks — Contributed Papers
Section on Statistical Learning and Data Science, SSC
Chair(s): Cheolwoo Park, University of Georgia
4:05 PM	Estimating Heterogeneous Biomarker Networks and Their Effects on Disease Outcome Shanghong Xie, Columbia University; Xiang Li, Statistics and Decision Sciences, Janssen Research & Development, LLC; Donglin Zeng, UNC Chapel Hill; Yuanjia Wang, Columbia University
4:35 PM	New Methods for Incorporating Network Cyclic Structures to Improve Community Detection Presentation Behnaz Moradijamei, Kansas State University; Michael Higgins, KANSAS STATE UNIVERSITY; Heman Shakeri, Kansas State University
5:20 PM	Extendability for Exchangeable Network Models Jiaqi Yin, University of Washington; Thomas Richardson, University of Washington
5:35 PM	Floor Discussion

84	Sun, 7/29/2018, 4:00 PM - 4:45 PM	CC-West Hall B
SPEED: A Mixture of Topics in Health, Computing, and Imaging — Contributed Poster Presentations
Mental Health Statistics Section, Section on Statistical Computing, Section on Statistics in Imaging, Section on Statistical Learning and Data Science, SSC, Section on Physical and Engineering Sciences, Section for Statistical Programmers and Analysts
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
21:	Remote Perconditioning Enhances Neuro Protection and Collateral Blood Flow During Ischemia in Distal Cerebral Ischemic Rat Model (MCAo) Through AMPK-ENOS Pathways Abdul Salam, Hamad Medical Corporation; Aijaz Parray, Hamad Medical Corporation; yonglie Ma, University of Alberta ; Naveed Akhter, Hamamd Medical Corporation; Sajitha VP, Hamad Medical Corporation; Ruth Priyanka, Hamamd Medical Corporation; Ian Winship, University of Alberta; Nosheen Shahid, Hamamd Medical Corporation; Ashfaq Shuaib, University of Alberta
22:	Polynomial Based Approximate Probability Distributions Chris Elrod, Baylor University; James Stamey, Baylor University
23:	Measurement Reliability in Mental Health Research: Critical Implications for Research Design and Analysis Alessandro De Nadai, Texas State University; Marieke Visser, Texas State University
27:	Tailoring PCA for Detecting Sparse Changes in Multi-Stream Data Martin Tveten, University of Oslo; Ingrid Kristine Glad, University of Oslo
28:	Ranked Sparsity Methods for Transparent Model Selection Ryan Andrew Peterson, University of Iowa; Joseph Cavanaugh, University of Iowa
29:	Image-On-Image Regression: a Spatial Bayesian Latent Factor Model for Predicting Task-Evoked Brain Activity Using Task-Free MRI Cui Guo, University of Michigan
30:	Fusion of the Semiparametric Models and Network Measures in the Study of Brain Dynamic Functional Connectivity Maria Kudela, Takeda Pharmaceuticals; Jaroslaw Harezlak, Indiana University Bloomington; Mario Dzemidzic, Indiana University School of Medicine; Brandon Oberlin, Indiana University School of Medicine; David A Kareken, Indiana University School of Medicine; Joaquin Goni, Purdue University
31:	Fast Generalised Linear Models in a Database Thomas Lumley, University of Auckland
32:	A Deep Learning Approach to the Estimation of Bias and Variance in HARDI Allison Hainline, Vanderbilt University; Hakmook Kang, Vanderbilt University Medical Center; Bennett Landman, Vanderbilt University
33:	Creating Counting Process Intervals with Ease Cynthia Crowson, Mayo Clinic; Terry M Therneau, Mayo Clinic; Elizabeth J Atkinson, Mayo Clinic
34:	Multi-Scale Vecchia Approximation of Gaussian Processes Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University
Oral Presentations for this session.

85	Sun, 7/29/2018, 5:05 PM - 5:50 PM	CC-West Hall B
SPEED: An Ensemble of Advances in Genomics and Genetics — Contributed Poster Presentations
Section on Statistics in Genomics and Genetics, ENAR, SSC, Section on Risk Analysis, Section on Statistical Computing, Biometrics Section
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1:	Discrete Principal Component Analysis for Population Stratification Nedret Billor, Auburn University; Yuan Yuan, Auburn University; Asuman Seda Turkmen, The Ohio State University
2:	On Using Gene Genealogies to Find Trait-Influencing Variants Payman Nickchi, Simon Fraser University; Jinko Graham, Simon Fraser University
3:	A Hierarchical Bayesian Deconvolution Model for Inferring Immune Cell Components in Tumor An-Shun Tai, National Tsing Hua University
4:	A Hybrid Method of the Sequential Monte Carlo and the Edgeworth Expansion for Computation of Very Small P-Values in Permutation Tests James Jian Yang, University of Michigan; Anne YuhPey Buu, University of Michigan
5:	A Novel Framework for Differential Gene Expression Analysis Using Robust Profile Likelihood Ratios Lehang Zhong, Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto; Lisa Joanna Strug, Genetics and Genome Biology, The Hospital for Sick Children
6:	Empirical Bayes Analysis of Overdispersed High-Dimensional Protein Interaction Data Anna Reisetter
7:	An Efficient Resampling Method for Order-Restricted Gene-Trait Association Analysis Yeonil Kim, University of Florida; Yueh-Yun Chi, University of Florida; Fei Zou, University of North Carolina at Chapel Hill
8:	MHi-C: Robust Leveraging of Multi-Mapping Reads in Hi-C Analysis Ye Zheng, University of Wisconsin Madison; Ferhat Ay, La Jolla Institute for Allergy and Immunology; Sunduz Keles, University of Wisconsin, Madison
9:	A Method for Estimating SNP Heritability with Consideration of Variant Correlation and Non-Parametric Relationship Hsiao-Chi Liao, National Taiwan University; Chuhsing Kate Hsiao, National Taiwan University Institute of Epidemiology and Preventive Medicine
10:	A Nearly Optimal Sequential Testing Approach to Permutation-Based Association Testing Julian Hecker, Harvard T.H. Chan School of Public Health; Ingo Ruczinski, Bloomberg School of Public Health; Brent A. Coull, Harvard TH Chan School of Public Health; Christoph Lange, Harvard T.H. Chan School of Public Health
11:	P-Value Estimation for the Risk Score of a Prediction Model Heidi Chen, Vanderbilt University Medical Center; Ming Li, Case Western Reserve University; Huiyun Wu, St. Jude Children's Research Hospital; Yu Shyr, Vanderbilt University Medical Center
12:	Novel Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes Yun Zhang, University of Rochester; Xing Qiu, University of Rochester
13:	Statistical Learning on Next-Generation Sequencing of T Cell Repertoire Data Li Zhang, UCSF School of Medicine, UCSF; Tao He, San Francisco State University; Alan Paciorek, University of California, San Franciscornia ; Jason Cham, University of California, San Francisco; David Oh, University of California, San Francisco; Lawrence Fong, University of California, San Francisco
14:	An Integrative Bayesian Approach to Dissect Complex Trait Etiology Corbin Quick, University of Michigan
16:	Optimal Covariate Weighting Increases Discoveries in High-Throughput Biology Paul Schliekelman, University of Georgia; Mohamad Hasan, University of Georgia
17:	Statistical Approach for Investigating Change in Mutational Processes During Cancer Growth and Development Zhi Yang, University of Southern California; Priyatama Pandey, University of Southern California; Darryl Shibata, University of Southern California; Paul Southern Marjoram, University of Southern California; Kimberly Siegmund, University of Southern California
18:	Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis Wei Deng, University of Toronto; Radu V Craiu, University of Toronto
19:	Benford's Law Based Outliers Detection for Population Stratification in Genotype Data Yuan Yuan, Auburn University; Nedret Billor, Auburn University; Asuman Seda Turkmen, The Ohio State University
20:	A Tight Spectral Clustering Algorithm for Bipartite Networks with Node Covariates Yidan Sun
Oral Presentations for this session.

87	Sun, 7/29/2018, 8:30 PM - 10:30 PM	CC-West Hall B
Invited ePoster Session: a Statistical Smörgåsbord — Invited Poster Presentations
SSC, Section on Bayesian Statistical Science, Section on Statistics in Epidemiology, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Biometrics Section, Section on Statistics and the Environment, Section for Statistical Programmers and Analysts, Section on Statistics in Imaging, WNAR, Social Statistics Section, Astrostatistics Special Interest Group, Biopharmaceutical Section, ENAR, Section on Risk Analysis, Section on Statistical Consulting
Chair(s): Paul McNicholas, McMaster University
1:	The LISA 2020 Program to Build Statistics Capacity in Developing Countries Eric Vance, LISA-University of Colorado Boulder
2:	Conditions for the Uniqueness, Finiteness, and Possible Location of the Maximum Likelihood Estimate with a Log Binomial Model Gurbakhshash Singh, University of Calgary; Gordon Hilton Fick, University of Calgary
3:	Two Mixture-Based Clustering Approaches: Modeling an Automobile Insurance Portfolio Tatjana Miljkovic, Miami University; Daniel Fernandez, Victoria University of Wellington
4:	An Expectation Conditional Maximization Approach for Gaussian Graphical Models Zehang Li, University of Washington; Tyler McCormick, University of Washington
5:	A Bayesian Model for Multivariate Micro-Level Insurance Claims Marie-Pier Côté, Universite Laval; Christian Genest, McGill University; David A Stephens, McGill University
6:	Deep Learning for Statistical Inference in Infectious Disease Systems Rob Deardon, University of Calgary; Carolyn Augusta, University of Guelph; Graham Taylor, University of Guelph
7:	Flexible Accelerated Failure Time Model in Survival Analysis Menglan Pang, McGill University; Michal Abrahamowicz, McGill University; Robert W Platt, McGill University
8:	Spatio-Temporal Analysis of Children and Adolescents' Emergency Department Use for Mental Health Reasons in Alberta, Canada Michelle Thiessen, Simon Fraser University; Joan Hu, Simon Fraser University; Rhonda J. Rosychuk, University of Alberta
9:	Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations Taylor Gene Pospisil, Carnegie Mellon University
10:	Zero Counts in Single Cell RNA-Seq Data Hao Wu, Emory University; Zhijin Wu, Brown University
11:	Quasi-Oracle Estimation of Heterogeneous Treatment Effects Xinkun Nie, Stanford University; Stefan Wager, Stanford University
12:	Estimation of Fire Duration Distribution with Missing Start Time Yi Xiong, Simon Fraser University; John Braun, University of British Columbia ; Joan Hu, Simon Fraser University
13:	Bayesian Nonparametric Hierarchical Models for Lightcurve Classification and Observation Decisions David Edward Jones, Duke University and SAMSI; Sujit Ghosh, North Carolina State Univ.; Ana-Maria Staicu, NC State University; Ashish Mahabal, Caltech
14:	Approximate Bayesian Computation for the Stellar Initial Mass Function Jessi Cisewski-Kehe, Yale University; Chad Schafer, Carnegie Mellon University; Grant Weller, Savvysherpa; David Hogg, New York University
15:	A Novel Bayesian Framework to Probe Closed Box Nature of Galaxy Clusters Arya Farahi, University of Michigan - Ann Arbor
16:	Statistical Approaches to Decreasing the Discrepancy of Non-Detects in QPCR Data Valeriia Sherina, University of Rochester Medical Center; Love Tanzy, University of Rochester Medical Center; Matthew N. McCall, University of Rochester Medical Center
17:	Generalized Statistical Inference for Astrophysical Discoveries Sara Algeri, Imperial College London; David A van Dyk, Imperial College London; Jan Conrad, Oskar Klein Centre for Cosmoparticle Physics
18:	Nonparametric Causal Effects Based on Incremental Propensity Score Interventions Edward Kennedy, Carnegie Mellon University; Matteo Bonvini, Carnegie Mellon University
19:	Addressing Overfitting in Mixtures of Factor Analyzers Jeffrey L Andrews, University of British Columbia Okanagan
20:	Spatiotemporal Analysis of Environmental Health Risk Renjun Ma, University of New Brunswick; Edward Hughes, Edward Hughes Consulting
21:	Probabilistic Partial Least Squares Regression Applied to Longitudinal and Cross-Sectional Compositional Data Peter A Tait, McMaster Univeristy; Paul McNicholas, McMaster University
22:	Detection of Trend Onset in Environmental Time Series Ying Zhang, Acadia University
23:	The Analysis of Face Perception MEG and EEG Data Using a Potts-Mixture Spatiotemporal Joint Model Yin Song, University of Victoria; Farouk Nathoo; Arif Babul, University of Victoria
24:	Infere Steven Cumming, Université Laval
25:	Functional Partial Linear Quantile Regression Based on Reproducing Kernel Hilbert Space Peng Liu, University of Alberta; Linglong KONG, University of Alberta; Bei JIANG, University of Alberta; Nan Zhang, Fudan University; Jianhua Z. Huang, Texas A&M University
26:	Gaussian Process Regression with Large Data Sets: Has the Problem Been Solved? Sonja Surjanovic, University of British Columbia; William Welch, University of British Columbia
27:	Sparse Estimation for Functional Semiparametric Additive Model Peijun Sang, Simon Fraser University; Richard Lockhart, Simon Fraser University; Jiguo Cao, Simon Fraser University
28:	Analysis of Paired Binary Data Subject to Misclassification Using a Random Effect Model Hua Shen, University of Calgary ; Richard John Cook, University of Waterloo
29:	A Grouped Weighted Quantile Regression Approach to Modeling Environmental Chemical Mixtures and Childhood Leukemia Risk David C. Wheeler, Virginia Commonwealth University
30:	Efficient Robust Doubly Adaptive Regularized Regression with Application to fMRI Data Wei Tu, University of Alberta
31:	A Model-Based Clustering to Identify Disease-Associated SNPs Li Xing, University of Victoria; Xuekui Zhang, University of Victoria; Yan Xu, University of Victoria; Weiliang Qiu, Brigham and Women's Hosptial/Harvard Medical School
32:	The Consequences of Requiring 'Greater Statistical Stringency' for Scientific Publication Harlan Campbell, University of British Columbia; Paul Gustafson, University of British Columbia
33:	Mixtures of Contaminated Shifted Asymmetric Laplace Factor Analyzers Brian C Franczak, MacEwan University
34:	Uncertainty Quantification of Stochastic Computer Model for Binary Black Hole Formation Luyao Lin, Simon Fraser University; Jim Barrett, University of Birmingham; Derek Bingham, Simon Fraser University; Ilya Mandel, University of Birmingham
35:	Network Meta-Analysis of Disconnected Networks: How Dangerous Are Random Baseline Treatment Effects? Audrey Béliveau, University of Waterloo; Sarah Goring, SMG Outcomes Research; Robert W Platt, McGill University; Paul Gustafson, University of British Columbia
36:	Nonparametric Measures of Local Causality and Tests of Local Non-Causality in Time Series Felix Camirand Lemyre, School of mathematics and statistics, University of Melbourne; Taoufik Bouezmarni, Université de Sherbrooke; Jean-François Quessy, Université du Québec à Trois-Rivières
37:	Sparse Functional Principal Component Analysis in a New Regression Framework YUNLONG NIE, Simon Fraser University; Jiguo Cao, Simon Fraser University
38:	Inference of Introgressive Hybridization in Anopheles Mosquito Genomes Jingxue(Grace) Feng, Simon Fraser University; Liangliang Wang, Simon Fraser University; Cedric Chauve, Simon Fraser University
39:	Statistical Methods for Addressing Missing Data in HIV/AIDS Surveillance Systems Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Ying Qing Chen, Fred Hutchinson Cancer Research Center; Deborah Donnell, Fred Hutch
40:	Latent Mixtures of Functions to Characterize the Complex Exposure Relationships of Pesticides on Cancer Incidence Sung Duk Kim, National Cancer Institute; Paul S Albert, National Cancer Institute

99 * !	Mon, 7/30/2018, 8:30 AM - 10:20 AM	CC-West 211
Single Cell Sequencing and Cancer Genomics — Invited Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, ENAR, SSC
Organizer(s): Wei Sun, Fred Hutchinson Cancer Research Center
Chair(s): Wei Sun, Fred Hutchinson Cancer Research Center
8:35 AM	3?-UTR Shortening Represses Tumor Suppressor Genes in Trans by Disrupting CeRNA Crosstalk Wei Li, Baylor College of Medicine
9:00 AM	Pathway and Network-Based Integrative Bayesian Modeling of Multiplatform Genomics Data Presentation Veera Baladandayuthapani, UT MD Anderson Cancer Center; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Elizabeth McGuffey, United States Naval Academy; Raymond J. Carroll, Texas A & M University; Min Jin Ha, UT MD Anderson Cancer Center
9:25 AM	Changing Mixtures Does Not Always Change Margins: An Application to Single-Cell RNA-Seq Michael Newton, University of Wisconsin at Madison; XIuyu Ma, University of Wisconsin at Madison; Christina Kendziorski, University of Wisconsin - Madison
9:50 AM	Unsupervised embedding of single-cell Hi-C data William S. Noble, University of Washington
10:15 AM	Floor Discussion

104 !	Mon, 7/30/2018, 8:30 AM - 10:20 AM	CC-West 110
Visualization and Reproducibility - Challenges and Best Practices — Invited Papers
Section on Statistical Graphics, Section for Statistical Programmers and Analysts, Section on Statistical Learning and Data Science, Section on Statistical Computing, SSC
Organizer(s): Wendy L Martinez, Bureau of Labor Statistics
Chair(s): John L. Eltinge, United States Census Bureau
8:35 AM	EDA: A Historical Perspective and a Path Forward Dianne Cook, Monash University
9:05 AM	The Extended Reproducibility Phenotype - Interactive Graphics Edition Gabriel Becker, Genentech Research; Vivek Ramaswamy, Genentech Research; Nolan Nichols, Genentech Research; Altaf Kassam, Genentech Research; Dinakar Kulkarni, Genentech Research
9:35 AM	A Unified Approach to Exploration, Authoring, and Communication with Reproducible Visualizations Nils Gehlenborg, Harvard Medical School
10:05 AM	Floor Discussion

106	Mon, 7/30/2018, 8:30 AM - 10:20 AM	CC-West 222
Recent Trends in Inference from Dynamical Systems — Invited Papers
IMS, SSC
Organizer(s): Kevin McGoff, UNC Charlotte
Chair(s): Kevin McGoff, UNC Charlotte
8:35 AM	Variational Analysis of Empirical Risk Minimization Andrew B Nobel, University of North Carolina at Chapel Hill; Kevin McGoff, UNC Charlotte
9:05 AM	Learning from Dynamical Systems Presentation Ingo Steinwart, University of Stuttgart
9:35 AM	Multilevel Monte Carlo for Inference Kody Law, Oak Ridge National Laboratory
10:05 AM	Floor Discussion

107	Mon, 7/30/2018, 8:30 AM - 10:20 AM	CC-West 301
JASA, Theory and Methods — Invited Papers
JASA, Theory and Methods, SSC
Organizer(s): Regina Liu, Rutgers University; Hongyu Zhao, Yale
Chair(s): Hongyu Zhao, Yale
8:35 AM	From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation Saharon Rosset, Tel Aviv University; Ryan Tibshirani, Carnegie Mellon University
9:15 AM	Discussant: Stefan Wager, Stanford University
9:30 AM	Discussant: Larry Wasserman, Carnegie Mellon University
9:45 AM	Discussant: Xiaotong Shen, University of Minnesota
10:00 AM	Rejoinder: Saharon Rosset, Tel Aviv University
10:15 AM	Floor Discussion

138 * !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 214
Statistical Methods for Electronic Healthcare Data — Invited Papers
ENAR, Health Policy Statistics Section, Biometrics Section, SSC
Organizer(s): Eric Laber, North Carlina State University; Yingqi Zhao, Fred Hutchinson Cancer Research Center
Chair(s): Eric Laber, North Carlina State University
10:35 AM	Reinforced Risk Prediction with Budget Constraint: Application to Electronic Health Records Data Yinghao Pan, Fred Hutchinson Cancer Research Center; Eric Laber, North Carlina State University; Maureen Smith, University of Wisconsin-Madison; Yingqi Zhao, Fred Hutchinson Cancer Research Center
11:00 AM	Statistical Methods for Handling Missing Data in Distributed Health Data Networks Yi Deng, Google Inc.; Xiaoqian Jiang, University of California, San Diego; Qi Long, University of Pennsylvania
11:25 AM	Robust Bayesian Variable Selection for Modeling Mean Medical Costs Presentation Lei Liu, Washington University in St Louis; Grace Yoon, Texas A&M University; Wenxin Jiang, Northwestern University; Tina Shih, MD Anderson Cancer Center
11:50 AM	Reconciling disease progression risks across multiple clinical cohorts Jane Lange, Fred Hutchinson Cancer Research Center; Lurdes Inoue, University of Washington; Ruth Etzioni, Fred Hutchinson Cancer Research Center
12:15 PM	Floor Discussion

142 * !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 217
Metabolomics Data Analytics - the New Frontier in Precision Medicine — Invited Papers
WNAR, Section on Statistics in Genomics and Genetics, ENAR, SSC
Organizer(s): Katerina Kechris, Colorado School of Public Health; Jean Yee Hwa Yang, University of Sydney, Australia
Chair(s): Jean Yee Hwa Yang, University of Sydney, Australia
10:35 AM	Hierarchical Processing for LC/MS Metabolomics Data Generated in Multiple Batches Douglas Walker, Emory University; Karan Uppal, Emory University; Dean Jones, Emory University; Tianwei Yu, Emory University
11:25 AM	Bayesian Network Models for Integrating Genetics and Metabolomics Data Presentation Denise Marie Scholtens, Northwestern University; Alan Kuang, Northwestern University
11:50 AM	Discussant: Susmita Datta, University of Florida
12:15 PM	Floor Discussion

143 * !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 206/207
Some New Perspectives and Developments in Biostatistical Research in the Era of Data Science — Invited Papers
SSC, ENAR, Biometrics Section
Organizer(s): Peisong Han, University of Waterloo
Chair(s): Peisong Han, University of Waterloo
10:35 AM	Relevance, Validity, and Bias in the Integration of Health Data Presentation Jerald Lawless, University of Waterloo
10:55 AM	How Small Data Can Leverage Big Data, and/or Conversely Presentation Bhramar Mukherjee, University of Michigan
11:15 AM	Modeling for Stem Cell Transplant Data Zhezhen Jin, Columbia University
11:35 AM	Using Electronic Health Records Data for Predictive and Causal Inference About the HIV Care Cascade Presentation Joseph W Hogan, Brown University School of Public Health
11:55 AM	Combining Phenotypes, Genotypes, and Genealogies to Fine-Map Trait-Influencing Variants on the Genome Presentation Jinko Graham, Simon Fraser University
12:15 PM	Floor Discussion

145 * !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 204
Big Data Statistical Challenges and Opportunities in Industry — Invited Papers
Section on Statistical Consulting, Section on Risk Analysis, National Institute of Statistical Sciences, SSC, Business Analytics/Statistics Education Interest Group
Organizer(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
Chair(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
10:35 AM	Deep Analytics for Risk Analysis and Mitigation: From NLP Computer Vision to Sensors Siddhartha Dalal, Columbia University
10:55 AM	Risk Analysis in Banking Vijayan Nair, 215157
11:15 AM	Sound Statistical Inference from Big Data in the Insurance Industry Presentation Christopher Haydon Holloman, ICC
11:35 AM	Feature Engineering from Scratch Andrew Smith, Google
11:55 AM	Discussant: James L Rosenberger, NISS (National Institute of Statistical Sciences) and Penn State
12:15 PM	Floor Discussion

147 * !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 110
High-Dimensional Time Series Analysis and Its Applications — Invited Papers
Section on Statistical Learning and Data Science, Statistical and Applied Mathematical Sciences Institute, Committee on Applied Statisticians, SSC
Organizer(s): Ivor Cribben, University of Alberta
Chair(s): Marina Vannucci, Rice University
10:35 AM	Analysis of Rapidly Evolving Multivariate Oscillations Sofia C Olhede, University College London; Adam Sykulski, Lancaster; Arthur Guillaumin, UCL; Jonathan Lilly, NWRA; Jeffrey Earley, NWRA
11:00 AM	A Joint Analysis of Brain Signal, Genetics, and Behavior Zhaoxia Yu, UCI; Hernando Ombao, King Abdullah University of Science and Technology; Dustin Pluta, University of California, Irvine; Tong Shen, University of California, Irvine
11:25 AM	Understanding Cryptocurrency Price Formation from Time Series of Local Blockchain Graph Features Presentation Cuneyt Akcora, University of Texas at Dallas; Asim Dey, University of Texas at Dallas; Ceren Abay, University of Texas at Dallas; Yulia Gel, University of Texas at Dallas; Umar Islambekov, University of Texas at Dallas; Murat Kantarcioglu, University of Texas at Dallas
11:50 AM	Bayesian Approaches for Estimating Dynamic Functional Network Connectivity in fMRI Data Presentation Michele Guindani, University of California, Irvine; Erik B. Erhardt, University of New Mexico
12:15 PM	Floor Discussion

152 * !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 205
Frontiers of High-Dimensional and Complex Data analysis — Topic Contributed Papers
International Chinese Statistical Association, Biometrics Section, Section on Nonparametric Statistics, SSC
Organizer(s): Yichuan Zhao, Georgia State University
Chair(s): Yangxin Huang, University of South Florida
10:35 AM	Data Enriched Generalized Linear Methods Sayan Dasgupta, Fred Hutchinson Cancer Research Center; Cheng Zheng, University of Wisconsin at Milwaukee ; Ying Qing Chen, Fred Hutchinson Cancer Research Center; Asad Haris, University of Washington
10:55 AM	Statistically and Numerically Efficient Independence Tests That Are Based on Distances Presentation Xiaoming Huo, Georgia Institute of Technology, ; Cheng Huang, Georgia Institute of Technology
11:15 AM	Variable Selection in Partially Linear Additive Hazards Model with Grouped Covariates and a Diverging Number of Parameters Presentation Xuewen Lu, University of Calgary; Arfan Afzal, University of Calgary
11:35 AM	A Bernstein-Type Inequality for U-Statistics Under Mixing Conditions Presentation Fang Han, University of Washington; Yandi Shen, University of Washington; Daniela Witten, University of Washington
11:55 AM	Ensemble Estimation and Variable Selection with Semiparametric Regression Models Presentation Sunyoung Shin, University of Texas at Dallas; Yufeng Liu, University of North Carolina at Chapel Hill; Stephen Cole, University of North Carolina at Chapel Hill; Jason P Fine, University of North Carolina at Chapel Hill
12:15 PM	Floor Discussion

154 * !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 122
Sports Analysis: New Insights — Topic Contributed Papers
Section on Statistics in Sports, Canadian Statistical Sciences Institute, SSC
Organizer(s): Ivor Cribben, University of Alberta
Chair(s): Ivor Cribben, University of Alberta
10:35 AM	Net Best-Ball Team Composition in Golf Tim Swartz, Simon Fraser University; Yifan Wu, Simon Fraser University; Peter Chow-White, Simon Fraser University
10:55 AM	Goals in Soccer: Factors That Matter Presentation Jan Vecer, Charles University
11:15 AM	The Hot Hand Theory in Hockey: a Multilevel Logistic Regression Analysis Presentation Likang Ding; Armann Ingolfsson, University of Alberta; Ivor Cribben, University of Alberta; Monica Tran, University of Alberta
11:35 AM	Manifestations of Loss Aversion in Profession Golf Presentation Ryan Elmore, University of Denver; Andrew Urbaczewski, University of Denver
11:55 AM	Degree of Weak and Strong Links in Pickleball Doubles Games Presentation Paramjit Gill, University of British Columbia Okanagan; Tim Swartz, Simon Fraser University
12:15 PM	Floor Discussion

173 !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 121
Recent Advances on Neuroimaging Analysis — Contributed Papers
Section on Statistics in Imaging, SSC
Chair(s): Shuo Chen, University of Maryland, School of Medicine
10:35 AM	Statistical Inference for Neuroimaging Genetics Presentation Long Feng, Yale University; Xuan Bi, Yale University; Heping Zhang, Yale University School of Public Health
10:50 AM	Dependence Among Spectral-Based Measures Through Copulas: Theoretical Framework and Research on Change-Points Charles Fontaine, King Abdullah University of Science and Technology; Hernando Ombao, King Abdullah University of Science and Technology; Yongxin Zhu, King Abdullah University of Science and Technology
11:05 AM	Matrix Decomposition for Modeling Multiple Sclerosis Lesion Development Processes Menghan Hu, Brown University; Ani Eloyan, Brown University; Russell T. Shinohara, University of Pennsylvania Perelman School of Medicine; Ciprian Crainiceanu, Johns Hopkins University
11:20 AM	Signal Detection in Brain fMRI Using Global Bayes Factor for Rotation-Space Random Field Mozhdeh Forghani, University of Northern Colorado; Khalil Shafie, University of Northern Colorado
11:35 AM	Hierarchical Mixture Modeling for Multiple Testing and Effect Size Estimation in Voxel-Level Inference of Neuroimaging Data Presentation 1 Presentation 2 Ryo Emoto, Nagoya University Graduate School of Medicine; Atsushi Kawaguchi, Saga University; Hisako Yoshida, Saga University; Shigeyuki Matsui, Nagoya University
11:50 AM	Deep Feature Selection and Causal Inference for Alzheimer's Disease Yuanyuan Liu, The University of Texas Health Science Center at Houston; Qiyang Ge, Fudan University; Nan Lin, The University of Texas Health Science Center at Houston; Wenjia Peng, Bengbu Medical College; Rong Jiao, The University of Texas Health Science Center at Houston; Xuesen Wu, Bengbu Medical College; Momiao Xiong, The University of Texas Health Science Center at Houston
12:05 PM	Floor Discussion

194	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West Hall B
Contributed Poster Presentations: SSC — Contributed Poster Presentations
SSC
Chair(s): Paul McNicholas, McMaster University
72:	Applications of Directional Inference Andrew McCormack; Nancy Reid, University of Toronto; Sri-Amirthan Theivendran, University of Toronto; Nicola Sartori, University of Padua

212 * !	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 109
An Emerging Ecosystem for Data Science/Statistics Education — Invited Papers
Section on Statistical Education, Section on Statistical Computing, SSC, Business Analytics/Statistics Education Interest Group
Organizer(s): Albert Y. Kim, Smith College
Chair(s): Albert Y. Kim, Smith College
2:05 PM	Version Control: The Gain You Get for Your Pain Presentation Jennifer Bryan, RStudio, University of British Columbia
2:25 PM	Using Data to Drive Curriculum Development Presentation Chester Ivan Ismay, DataCamp
2:45 PM	Authoring and Utilizing Open Source, Reproducible Statistics/Data Science Textbooks Presentation Alicia A Johnson, Macalester College
3:05 PM	Aligning Inference with the Tidyverse: Development of the Infer Package Presentation 1 Presentation 2 Andrew Paul Bray, Reed College
3:25 PM	Streamline Your Class with RStudio Presentation Garrett Grolemund, RStudio Inc.
3:45 PM	Floor Discussion

215 * !	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 224
Non- and Semiparametric Methods to Accommodate Dependency and Heterogeneity in Complex Data — Invited Papers
Section on Nonparametric Statistics, IMS, Lifetime Data Analysis Interest Group, SSC
Organizer(s): Naisyin Wang, U of Michigan
Chair(s): Gongjun Xu, University of Michigan
2:05 PM	Nonparametric Bayesian Priors for Hidden Markov Random Fields Florence Forbes, INRIA; Hongliang Lu, INRIA; Julyan Arbel, INRIA
2:30 PM	Nonparametric Modeling of Longitudinal Compositional Data as Trajectories on the Sphere Hans Mueller, UC Davis; Xiongtao G Dai, University of California, Davis
2:55 PM	Goodness-of-Fit Tests in Proportional Hazards Models with Random Effects Presentation Ingrid Van Keilegom, KU Leuven; Wenceslao Gonzalez Manteiga, University of Santiago de Compostela; Maria Dolores Martinez Miranda, University of Granada
3:20 PM	Discussant: Naisyin Wang, U of Michigan
3:45 PM	Floor Discussion

217 *	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-East 16
Studying Psychiatric Disorders Using Statistical and Machine Learning Methods — Invited Papers
Mental Health Statistics Section, ENAR, WNAR, SSC
Organizer(s): Hongyuan Cao, University of Missouri-Columbia
Chair(s): Lei Liu, Washington University in St Louis
2:05 PM	SAME-Clustering: Single-Cell Aggregated Clustering via Mixture Model Ensemble Presentation 1 Presentation 2 Ruth Huh, University of North Carolina at Chapel Hill; Yuchen Yang, University of North Carolina at Chapel Hill; Houston Culpepper, University of North Carolina at Chapel Hill; Yun Li, University of North Carolina at Chapel Hill
2:30 PM	Statistical Methods for Integrative Analysis of Multi-Omics Data with Applications to Psychiatric Disorders Hongyuan Cao, University of Missouri-Columbia; Jun Chen, Mayo Clinic; Xianyang Zhang, Texas A&M University
2:55 PM	Statistical Challenges and Opportunities for Analysis of Massive Biobank Data Presentation Xihong Lin, Harvard University
3:20 PM	Analysis of Mental Disorder Omics Data: An Integrative Perspective Shuangge Ma, Yale University
3:45 PM	Floor Discussion

218 * !	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 213
Statistical Advances in the Design and Analysis of Sequence-Based Genetic Association Studies — Invited Papers
Section on Statistics in Genomics and Genetics, International Indian Statistical Association, Section on Statistics in Epidemiology, SSC
Organizer(s): Debashree Ray, Johns Hopkins University
Chair(s): Haoyu Zhang, Johns Hopkins University
2:05 PM	Statistical Issues in the Design and Analysis of Sequencing Studies Presentation Danyu Lin, University of North Carolina
2:30 PM	Analysis of Quantitative Traits in Sequencing Studies with Outcome-Dependent Sampling SAONLI BASU, University of Minnesota
2:55 PM	Post-Selection Estimation and Testing Following Aggregated Association Tests Presentation Ruth Heller, Tel-Aviv University; Amit Meir, University of Washington; Nilanjan Chatterjee, Johns Hopkins University
3:20 PM	On the Design of Sequence-Based Case-Control Studies with External Controls Debashree Ray, Johns Hopkins University; Pranav Yajnik, University of Michigan; Michael Lee Boehnke, University of Michigan
3:45 PM	Floor Discussion

219 !	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 118
Seeing the World as a Missing Data Problem: Celebrating 40 Years of Multiple Imputation — Invited Papers
Social Statistics Section, Survey Research Methods Section, Royal Statistical Society, SSC
Organizer(s): Robin Mitra, University of Lancaster
Chair(s): Robin Mitra, University of Lancaster
2:05 PM	Nonparametric Multiple Imputation for Bridging Between Different Industry Coding Systems Jörg Drechsler, Institute for Employment Research; Birgit Pech, Amt für Statistik Berlin-Brandenburg
2:30 PM	Multiple Imputation for Adaptive Survey Design Presentation Trivellore Raghunathan, University of Michigan
2:55 PM	A Robust Multiple Imputation Approach to Causal Inference with Confounding by Indication Presentation Roderick J Little, University of Michigan; Tingting Zhou, University of Michigan; Michael Elliott, University of Michigan
3:20 PM	Discussant: Donald Rubin, Harvard University
3:45 PM	Floor Discussion

222 *	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 116
New Advances in Statistical Methods for Complex Data — Invited Papers
Section on Risk Analysis, Biometrics Section, Section on Statistics in Epidemiology, SSC
Organizer(s): Rajeshwari Sundaram, Eunice Kennedy SHriver National Institute of Child Health and Human Development
Chair(s): Ling Ma, Clemson University
2:05 PM	Complexity in Simple Regression Models with Binary Disease Outcome Mei-Cheng Wang, Johns Hopkins University
2:30 PM	Regression Analysis of Mixed Recurrent Event and Panel Count Data Presentation (Tony) Jianguo Sun, University of Missouri
2:55 PM	Independence Conditions and Intermittent Observation in Life History Studies Presentation Richard John Cook, University of Waterloo; Jerald Lawless, University of Waterloo
3:20 PM	Joint Modeling of Length-Biased and Competing Risks Survival Times with View Toward Individualized Prediction: An Application to Spontaneous Labor Presentation Rajeshwari Sundaram, Eunice Kennedy SHriver National Institute of Child Health and Human Development; Ling Ma, Clemson University
3:45 PM	Floor Discussion

245	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 122
Methods for Analysis of High-Dimensional Data — Contributed Papers
SSC
Chair(s): John Braun, University of British Columbia
2:05 PM	Double Random Forest Presentation Yung-Seop Lee, Dongguk University; Hyun-Joong Kim, Yonsei University; Sun-Woo Han, Yonsei University
2:20 PM	Sparse Functional Additive Models Peijun Sang, Simon Fraser University; Liangliang Wang, Simon Fraser University; Jiguo Cao, Simon Fraser University
2:35 PM	Efficient Forward Algorithms for Inverse Burrows-Wheeler Transformation Gun Ho Jang, Ontario Institute for Cancer Research
2:50 PM	Capture-Recapture Methods for Data on the Activation of Applications on Mobile Phones Presentation Mamadou YAUCK, Universite Laval; Louis-Paul Rivest, Université Laval; Greg Rothman, NinthDecimal
3:05 PM	Homogeneity Test Under Finite Mixture with Multi-Dimensional Parameter Kernel Presentation Ho Yin Ho, University of British Columbia; Jiahua Chen, University of British Columbia
3:20 PM	ODE Parameter Estimation with $L_1$ Distance Presentation Yuping Yang, Simon Fraser University; Jiguo Cao, Simon Fraser University
3:35 PM	Floor Discussion

273 * !	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 206/207
Statistical Analysis of Complex Imaging Data — Invited Papers
Section on Statistics in Imaging, ENAR, IMS, SSC
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Dehan Kong, University of Toronto
8:35 AM	Calculating a Generated Effect Modifier (GEM) for Treatment Selection Based on Imaging Data Presentation Todd Ogden, Columbia University; Hyung Park, Columbia University; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, Wright State University
9:00 AM	Multimodal Neuroimaging Analysis Lexin Li, University of California at Berkeley
9:25 AM	Exact Spike Train Inference from Calcium Imaging Data via L0 Optimization Sean Jewell, University of Washington; Daniela Witten, University of Washington
9:50 AM	New Approaches Towards Translational Neuroimaging Martin A Lindquist, Johns Hopkins University
10:15 AM	Floor Discussion

274 *	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 110
Random Forests in Big Data, Machine Learning and Statistics — Invited Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Section on Statistical Computing, SSC
Organizer(s): Ruoqing Zhu, University of Illinois Urbana-Champaign
Chair(s): Yifan Cui, University of North Carolina at Chapel Hill
8:35 AM	Standard Errors and Confidence Intervals for Variable Importance in Random Forest Regression, Classification, and Survival Presentation Hemant Ishwaran, University of Miami
8:55 AM	Random Forests for Big Data Presentation Jean-Michel Poggi, LMO, University Paris Sud; Robin Genuer, ISPED, Univ. Bordeaux ; Nathalie Villa-Vialaneix, MIA-T, INRA of Toulouse; Christine Tuleau-Malot , University Nice, CNRS, LJAD
9:15 AM	Distributional Trees and Forests Presentation Lisa Schlosser, University of Innsbruck; Torsten Hothorn, University of Zurich; Reto Stauffer, University of Innsbruck; Achim Zeileis, University of Innsbruck
9:35 AM	Beyond the Bagg: Consistent Importance Intervals for Random Forest Predictors Lucas Mentch, University of Pittsburgh; Giles Hooker, Cornell University
9:55 AM	On the Asymptotics of Tree-Based Survival Models Presentation Ruoqing Zhu, University of Illinois Urbana-Champaign; Yifan Cui, University of North Carolina at Chapel Hill; Michael Kosorok, University of North Carolina at Chapel Hill; Mai Zhou, University of Kentucky
10:15 AM	Floor Discussion

275 !	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-East 9
Advances in Dependence Modeling Through Copulas — Invited Papers
SSC, IMS, Section on Risk Analysis
Organizer(s): Johanna G. Neslehova, McGill University
Chair(s): Johanna G. Neslehova, McGill University
8:35 AM	Visualizing Dependence in High Dimensions Presentation Marius Hofert, University of Waterloo; Wayne Oldford, University of Waterloo
9:00 AM	Bayesian Inference for Conditional Copulas Using Gaussian Process Single Index Models Presentation Radu V Craiu, University of Toronto; Evgeny Levi, University of Toronto
9:25 AM	Conditional Normal Copulas and Their Use in Applications Pavel Krupskiy, University of British Columbia; Harry Joe, University of British Columbia; Marc G Genton, King Abdullah University of Science and Technology
9:50 AM	Semiparametric Inference for Copulas of Mixed Data Bruno Remillard, HEC Montreal; Christian Genest, McGill University; Johanna G. Neslehova, McGill University
10:15 AM	Floor Discussion

278 * !	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 116
Combining Markers for Classification in Practical Tasks — Invited Papers
Section on Medical Devices and Diagnostics, Biometrics Section, Society for Medical Decision Making, SSC
Organizer(s): Andriy Bandos, University of Pittsburgh
Chair(s): Andriy Bandos, University of Pittsburgh
8:35 AM	Issues Regarding Biomarker Combination Within ROC Framework: Strategies, Target Functions, and Large Number of Weak Markers Presentation Lili Tian, SUNY at Buffalo; Li Yan, Roswell Park Cancer Institute; Jingjing Yin, Georgia Southern University; Le Kang, Virginia Commonwealth University
8:55 AM	Robust Combination of Biomarkers for Classification with Covariate Adjustment Ying Huang, Fred Hutchinson Cancer Research Center; Soyoung Kim, Medical College of Wisconsin
9:15 AM	WITHDRAWN: Combining Biomarkers to Improve Classification Accuracy Under Heterogeneous Transformations Aiyi Liu, BBB/DIPHR/NICHD; Wei Zhang, BBB/DIPHR/NICHD
9:35 AM	New Dimension Reduction Methods for Combining Longitudinally Measured Biomarkers Presentation Ruth Pfeiffer , National Cancer Institute; Wei Wang , George Washington University ; Efstathia Bura , Vienna University of Technology
9:55 AM	Discussant: Ying Lu, Stanford University
10:15 AM	Floor Discussion

281	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-East 16
Clustering with Mixtures: Towards Emerging Data Types — Invited Papers
The Classification Society, SSC, Section on Statistical Computing
Organizer(s): Paul McNicholas, McMaster University
Chair(s): Brian C Franczak, MacEwan University
8:35 AM	On the Role of Transformations in Finite Mixture Modeling Presentation Volodymyr Melnykov, University of Alabama
9:00 AM	Variable Selection for Mixed Data Clustering: Application in Human Population Genomics Presentation Mohammed Sedki, Paris-Sud University
9:25 AM	A Bayesian Approach for Clustering Skewed Data Using Mixtures of Multivariate Normal-Inverse Gaussian Distributions Presentation Sanjeena Dang, Binghamton University (SUNY)
9:50 AM	Discussant: Jeffrey L Andrews, University of British Columbia Okanagan
10:15 AM	Floor Discussion

285 *	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 219
Advances in Dimension Reduction and Model Selection for Statistically Challenging Data — Topic Contributed Papers
IMS, Biometrics Section, ENAR, SSC
Organizer(s): Samuel Mueller, The University of Sydney
Chair(s): Samuel Mueller, The University of Sydney
8:35 AM	Spatial-Temporal Latent Variable Models: a Potential Waste of Space and Time? Presentation Francis Hui, Mathematical Sciences Institute
8:55 AM	Functional Censored Quantile Regression Presentation Fei Jiang, The University of Hong Kong
9:15 AM	Improved Selection of High-Dimensional Neuroimaging Biomarkers Associated with Neurodegenerative Disease Progression Tanya Garcia, Texas A&M University; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center
9:35 AM	Bayesian Regression for High-Dimensional Data Using a Prior on the Model Fit Howard D Bondell, University of Melbourne
9:55 AM	Discussant: Alan H Welsh, The Australian National University
10:15 AM	Floor Discussion

310	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 111
Topics of Variable Selection — Contributed Papers
Section on Statistical Learning and Data Science, SSC
Chair(s): Haocheng Li, Hoffmann-La Roche Limited (Roche Canada)
8:35 AM	Scrutiny of Inference on Generalized Linear Models with High-Dimensional Covariates Lu Xia, University of Michigan; Bin Nan, University of California, Irvine; Yi Li, University of Michigan
8:50 AM	Using Statistical Approaches to Stratify Hospital-Readmission Risk After Hip Fracture Presentation Qingqing Dai, Oklahoma State University; Zhuqi Miao, Oklahoma State University; Lan Zhu, Oklahoma State University
9:05 AM	Feature Selection in L0 Norm: a Viable Approach Presentation Ana Maria Kenney, Pennsylvania State University; Francesca Chiaromonte, The Pennsylvania State University; Giovanni Felici, IIASI CNR
9:20 AM	Projection-Based Inference for High-Dimensional Linear Models Presentation Sangyoon Yi, Texas A&M Univ; Xianyang Zhang, Texas A&M University
9:35 AM	Robust Group LASSO Methods Presentation Kristin Lilly, Columbus State University; Nedret Billor, Auburn University
9:50 AM	Nonlinear Variable Selection Using Deep Neural Network Presentation Yao Chen, Purdue University; Faming Liang, Purdue University; Xiao Wang , Purdue University
10:05 AM	Budget-Constrained Feature Selection for Binary Classification: a Neyman-Pearson Approach Presentation Yiling Chen, University of California, Los Angeles; Xin Tong, University of Southern California; Jingyi Li, University of California, Los Angeles

318 * !	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West 211
Advances on the Analysis of Single-Cell Sequencing Data — Invited Papers
WNAR, Section on Statistics in Genomics and Genetics, International Chinese Statistical Association, SSC
Organizer(s): Lingling An, University of Arizona
Chair(s): Lingling An, University of Arizona
10:35 AM	Statistical Methods for Single-Cell RNA-Seq in Studies of Mammalian Development Christina Kendziorski, University of Wisconsin - Madison; Zijian Wang, University of Wisconsin - Madison; Ron Stewart, Morgridge Institute for Research; Chris Barry, Morgridge Institute for Research; Li-Fang Chu, Morgridge Institute for Research
11:00 AM	General and Flexible Methods for Signal Extraction from Single-Cell RNA-Seq Data Presentation Davide Risso, Weill Cornell Medicine
11:25 AM	Multi-Sample Differential Expression Analysis of RNA-Seq Single-Cell Data George Tseng, University of Pittsburgh; Li Zhu, University of Pittsburgh; An-Shun Tai, National Tsing Hua University; Wei Chen, University of Pittsburgh
11:50 AM	Modeling Allele-Specific Gene Expression by Single-Cell RNA Sequencing Presentation Yuchao Jiang, University of North Carolina, Chapel Hill; Nancy Zhang, University of Pennsylvania; Mingyao Li, University of Pennsylvania
12:15 PM	Floor Discussion

320 * !	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West 118
Practical and Realistic Variable Selection Methods — Invited Papers
IMS, Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, SSC
Organizer(s): Linda Zhao, University of Pennsylvania
Chair(s): Sayan Mukherjee, Duke University
10:35 AM	Generalized CP and the Bootstrap for Variable Selection in Moderate or High-Dimensional Data Lawrence D Brown, University of Pennsylvania; Junhui Cai, University of Pennsylvania; Linda Zhao, University of Pennsylvania
11:05 AM	Multidimensional Monotonicity Discovery with MBART Edward George, Wharton, University of Pennsylvania; Robert McCulloch, Arizona State University; Hugh Chipman, Acadia University; Tom Shively, University of Texas at Austin
11:35 AM	Statistical Inference for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent Presentation Weijie Su, University of Pennsylvania; Yuancheng Zhu, University of Pennsylvania
12:05 PM	Floor Discussion

322 * !	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West 109
Data-Driven Patient Management in the Era of Precision Medicine - from Discovery, Diagnostics, to Therapeutics — Invited Papers
Council of Chapters, Biopharmaceutical Section, Section on Medical Devices and Diagnostics, SSC
Organizer(s): Ruixiao Lu, Genomic Health, Inc.
Chair(s): Li Zhang, UCSF School of Medicine, UCSF
10:35 AM	Big Data Analysis Points Toward New Cancer Therapeutic Discovery Approach Bin Chen, UCSF
11:00 AM	Using Genomic Features to Make Smart Clinical Decisions: The Power of Machine Learning with RNA-Seq Jing Huang, Veracyte Inc; Su yeon Kim , Veracyte Inc; Yangyang Hao, Veracyte Inc; Jing Lu, Veracyte Inc; Joshua Babiarz, Veracyte Inc; Sean Walsh, Veracyte Inc; Giulia Kennedy, Veracyte Inc
11:25 AM	Developing Genomic Biomarker to Guide Personalized Patient Management in Oncology: Validity and Utility of Clinical Diagnostic Applications Presentation Michael Crager, Genomic Health; Ruixiao Lu, Genomic Health, Inc.
11:50 AM	Biomarker-Defined Subgroup Selection Adaptive Design for Phase III Confirmatory Trial Presentation Rui Tang, Shire; Xiaoye Ma, University of Minnesota; Hui Yang, Amgen Inc.
12:15 PM	Floor Discussion

324 * !	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-East 17
Leading with Statistics: Process Monitoring and Improvement — Invited Papers
Quality and Productivity Section, SSC
Organizer(s): Subhabrata Chakraborti, University of Alabama
Chair(s): Subhabrata Chakraborti, University of Alabama
10:35 AM	Using Baseline Data in Process Improvement Presentation Stefan Steiner, University of Waterloo; Jock MacKay, University of Waterloo
10:55 AM	To Shrink or Not to Shrink: Hotelling's T2 Control Charts Based on Shrunken Covariance Estimates Presentation Allison Jones-Farmer, Miami University; Steve Rigdon, St. Louis University; Debbie Shepherd, Louisiana State-Shreveport
11:15 AM	Guaranteed In-Control Performance for Shewhart Control Charts Rob Goedhart, University of Amsterdam; Marit Schoonhoven, University of Amsterdam; Ronald J.M.M. Does, University of Amsterdam
11:35 AM	Why Is Monitoring Time Between Events Better Than Monitoring Event Counts for Outbreak Detection? Ross Stewart Sparks, Data61, CSIRO
11:55 AM	Weighted EWMA Charts for Monitoring Type I Censored Weibull Lifetimes Presentation Daniel R Jeske, University of California - Riverside; Shangjie Xu, University of California
12:15 PM	Floor Discussion

341	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West 212
SPEED: Classification and Data Science — Contributed Speed
Section on Statistical Learning and Data Science, SSC
Chair(s): Jesse Cambon, Office of Immigration Statistics
Poster Presentations for this session.
10:35 AM	Targeted Maximum Likelihood Estimation of Causal Effects Based on Observing a Single Time Series Ivana Malenica; Mark van der Laan, UC Berkeley
10:40 AM	Accessible Statistical Reports in R: Using R, Markdown, and Word to Create Accessible Reproducible Documents Presentation Robert Montgomery, NORC; Peter Herman, NORC at the University of Chicago; Qiao Ma, NORC at the University of Chicago; Stephen Schacht, NORC at the University of Chicago
10:45 AM	Differentiable Approximations of Hidden Markov Models for Variational Bayesian Inference Lun Yin, Duke Institute for Brain Sciences; John Pearson, Duke University
10:50 AM	How to Effectively Communicate Misunderstood Statistical Terms Presentation Hoiyi Ng, Amazon; Paavni Rattan, Amazon
10:55 AM	Aggregated Pairwise Classification of Statistical Shapes with Optimal Points of Projection Presentation Min Ho Cho, The Ohio State University; Sebastian Kurtek, The Ohio State University; Steve MacEachern, The Ohio State University
11:00 AM	Supervised Dimension Reduction for Large-Scale Genomic Data with Censored Survival Outcomes Under Possible Non-Proportional Hazards Presentation Lauren Spirko, Temple University; Karthik Devarajan, Fox Chase Cancer Center
11:05 AM	Improving a Predictive Model of Student Progress in an Online Course by Adding Learned Features from Unstructured Text Data Huafeng Zhang, The Refugee Center Online
11:10 AM	Classification via Product Conditional Density Estimates: Blending LDA and QDA Presentation Jiae Kim; Steve MacEachern, The Ohio State University
11:15 AM	Comparison of Missing Data Methods in the Use of LASSO Regression for Model Selection with Applications to the National Trauma Data Bank Presentation Sarah B Peskoe, Duke University; Tracy Truong, Duke University; Lily R Mundy, Duke University School of Medicine; Ronnie L Shammas, Duke University School of Medicine; Scott T Hollenbeck, Duke University School of Medicine
11:20 AM	An Alternative to the Carnegie Classifications: Using Structural Equation Models to Identify Similar Doctoral Institutions Paul Harmon, Montana State University; Sarah McKnight, Montana State University; Laura Hildreth, Montana State University; Ian C. Godwin, Montana State University Office of Planning and Analysis; Mark Greenwood, Montana State University
11:30 AM	Efficient Semiparametric Generalized Linear Models Based on Exponentially Tilted Splines Presentation William H Aeberhard, Dalhousie University; Mark Hannay, Intrum Justitia CH
11:35 AM	A Machine Learning (ML) Approach to Prognostic and Predictive Covariate Identification for Subgroup Analysis and Hypotheses Generation Presentation David A James, Novartis
11:40 AM	A Direct Approach to High-Dimensional Error-In-Variables Regression Presentation Yunan Wu, University of Minnesota; Lan Wang, University of Minnesota
11:45 AM	A Modified Approach to Component-Wise Gradient Boosting for High-Dimensional Regression Models Presentation Brandon Butcher, University of Iowa; Brian J. Smith, University of Iowa
11:50 AM	Efficient Big Data Model Selection with Applications to Fraud Detection Gregory Vaughan, Bentley University
11:55 AM	Predicting Overflow: A Novel Application of Latrine Sensors and Machine Learning for Optimizing Sanitation Services in Informal Settlements Presentation Phillip Turman-Bryant, Portland State University; Evan Thomas, Portland State University
12:00 PM	Undergraduate Data Science Statistics Pathways: What Is Needed for Entry into the Major? Presentation Rebecca Hartzler, Charles A. Dana Center, University of Texas at Austin; Nicholas J. Horton, Amherst College
12:05 PM	Assessing Divide-and-Conquer Latent Class Analysis Presentation Qiao Ma, NORC at the University of Chicago; Meimeizi Zhu, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago
12:10 PM	Lookalike Audience Modeling Sam Hawala, Resonate-Networks

342	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West 209
SPEED: Sports to Fire: Fascinating Applications of Statistics — Contributed Speed
Section on Statistics in Sports, SSC, Section on Statistics in Imaging, Section on Statistical Computing, Section on Statistical Consulting, Section on Statistical Learning and Data Science, Section on Statistics in Epidemiology, Statistical Auditing Interest Group, Transportation Statistics Interest Group, Section on Teaching of Statistics in the Health Sciences, Section for Statistical Programmers and Analysts
Chair(s): Bo Chen, University of Toronto
Poster Presentations for this session.
10:35 AM	Claim-Level Models Using Statistical Learning Techniques and Risk Analysis Presentation Mathieu Pigeon, Université du Québec à Montréal; Francis Duval, Université du Québec à Montréal
10:40 AM	Beach Volleyball Team Optimization Presentation Matthew Oehler, BYU
10:45 AM	Distributions of Time to First Spot Fire Presentation Trevor Thomson, Simon Fraser University
10:50 AM	Rao-Blackwellizing Field Goal Percentage in the NBA Presentation Daniel Daly-Grafstein, Simon Fraser University; Luke Bornn, Sacramento Kings and Simon Fraser University
10:55 AM	Estimating Attendance at Non-Ticketed Non-Gated Events Presentation Carl Schwarz, Simon Fraser University
11:10 AM	Teaching Statistics Graduate Students the Importance of Reproducible Research Presentation Kristen McQuerry, University of Kentucky
11:15 AM	Shared and Study-Specific Dietary Patterns: a Novel Approach to Replicability and Validity Roberta De Vito; Carlo La Vecchia, Università degli Studi di Milano; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Valeria Edefonti, Università degli Studi di Milano
11:20 AM	Statistical Ethics and Challenging Substantial Errors in Statistical Methods and Results in a Prominent Peer Reviewed Economics Journal Chris Barker, Statistical Planning and Analysis Services, Inc.
11:30 AM	To Bet or Not to Bet - the Modified Kelly Criteria Presentation Dani Chu, SFU Sports Analytics Club; Yifan Wu, Simon Fraser University; Tim Swartz, Simon Fraser University
11:35 AM	The Home Run Spike of MLB 2017: Drop in Quality of Pitch (QOP) Is a Missing Factor Presentation Jason Wilson, Biola University
11:40 AM	An Application of Machine Learning for 3D IC Defect Detection Presentation Meihui Guo, National Sun Yat-Sen University; Yu-Jung Huang, I-Shou University
11:50 AM	The Simple Story of Advanced NBA Metrics Zach Fulker, University of Pittsburgh; Tyler Folta, University of Pittsburgh; Lucas Mentch, University of Pittsburgh
11:55 AM	Application of Email Spam Filtering Algorithms to SMS Data Presentation Yishu Xue, University Of Connecticut
12:00 PM	MLB Rule IV Draft: Valuing Draft Pick Slots Presentation Anthony Cacchione, City College of New York
12:05 PM	Assessing the Impact of Practice Restriction Rules on Injury Rates in the National Football League (NFL) Presentation Zachary Binney, Rollins School of Public Health, Emory University; Cecile Janssens, Rollins School of Public Health, Emory University; Kyle E Hammond, Emory University School of Medicine; Mitchel Klein, Rollins School of Public Health, Emory University; Michael Goodman, Emory University

347	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-East 16
Machine Learning and Applications in Complex Engineering Systems — Contributed Papers
Section on Physical and Engineering Sciences, SSC
Chair(s): Blanton Godfrey, North Carolina State University
10:35 AM	Data-Driven Modeling and Forecast of Noisy Nonlinear Dynamics Presentation Kyongmin Yeo, IBM T.J. Watson Research Center; Youngdeok Hwang, Sungkyunkwan University; Eun Kyung Lee, IBM T.J. Watson Research Center
10:50 AM	The Identification and Quantification of Pits, Cracks, and Corrosion from Container Material Image Surface Depth Measurements with Subsequent Container Classification Presentation James Wendelberger, Los Alamos National Laboratory
11:05 AM	Prediction for Distributional Outcomes in the Management of High-Performance Computing Input/Output (I/O) Variability Presentation Li Xu, Virginia Tech; Thomas Lux, Virginia Tech; Tyler Chang, Virginia Tech; Bo Li, Virginia Tech; Yili Hong, Virginia Tech; Layne Watson, Virginia Tech; Kirk Cameron, Virginia Tech; Jon Bernard, Virginia Tech
11:20 AM	Spectral Methods for Kernel Learning Charlotte Haley, Argonne National Lab; Christopher J Geoga, Argonne National Laboratory; Mihai Anitescu, Argonne National Laboratory
11:35 AM	Covering Arrays: An Efficient Tool for Validating Complex Engineered Systems Presentation Ryan Lekivetz, SAS Institute, Inc.; Joseph Morgan, SAS Institute, Inc.
11:50 AM	Hidden in the Signal Eunice Kim, Microsoft; Ildoo Kim, Brown University
12:05 PM	Floor Discussion

381 !	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 212
High-Dimensional Nonparametric Statistics — Invited Papers
Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, IMS, SSC
Organizer(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
Chair(s): Lan Wang, University of Minnesota
2:05 PM	High-Dimensional Sign Tests for the Direction of a Skewed Single-Spiked Distribution Presentation Davy Paindaveine, Université libre de Bruxelles; Thomas Verdebout, Université libre de Bruxelles
2:30 PM	Robust Estimation, Efficiency, and Lasso Debiasing Presentation Po-Ling Loh, UW-Madison
3:20 PM	MASES: a Nonparametric Dimension Reduction Approach Hui Zou, University of Minnesota; Qing Mai, Florida State University; Xin Zhang, Florida State University
3:45 PM	Floor Discussion

382	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 120
Novel Statistical Methodology for Insurance and Risk Management — Invited Papers
Section on Risk Analysis, Business and Economic Statistics Section, SSC
Organizer(s): Jean-Francois Begin, Simon Fraser University
Chair(s): Jean-Francois Begin, Simon Fraser University
2:05 PM	Maximum Likelihood Estimation of First-Passage Structural Credit Risk Models Correcting for the Survivorship Bias Presentation Mathieu Boudreault, Université du Québec à Montréal; Diego Amaya, Wilfrid Laurier University; Don L. McLeish, University of Waterloo
2:35 PM	Climate Projections, Teleconnections and Estimating Risks for Index-Based Insurance Presentation Robert James Erhardt, Wake Forest University; Zhuoli Jin, Wake Forest University; Leland Kent, Wake Forest University
3:05 PM	Predicting High-Cost Members in the HCCI Database Presentation Brian Hartman, Brigham Young University; Rebecca Owen, HCA Solutions; Zoe Gibbs, Brigham Young University
3:35 PM	Floor Discussion

386 * !	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 119
Recent Developments in Integrating Multiple-Omics Data in Complex Diseases — Invited Papers
ENAR, International Chinese Statistical Association, WNAR, SSC
Organizer(s): Li Hsu, Fred Hutchinson Cancer Research Center, USA; Yu-Ru Su, Fred Hutchinson Cancer Research Center
Chair(s): Yu-Ru Su, Fred Hutchinson Cancer Research Center
2:05 PM	Constructing Tumor-Specific Gene Regulatory Networks Based on Sample with Tumor Purity Heterogeneity Pei Wang, Icahn School of Medicine at Mount Sinai ; Francesca Petralia, Icahn School of Medicine at Mount Sinai; Li Wang, Icahn School of Medicine at Mount Sinai; Jie Peng, UC Davis
2:25 PM	A Multivariate Mixed-Effects Selection Model Framework for Batch-Processed Proteomics Data with Nonignorable Missingness Presentation Jiebiao Wang, Carnegie Mellon University; Pei Wang, Icahn School of Medicine at Mount Sinai ; Donald Hedeker, University of Chicago; Lin Chen, University of Chicago
2:45 PM	Variation and Genetic Control of Protein Abundance in Human Tissues Presentation Hua Tang, Stanford Dept. of Genetics
3:05 PM	A General Framework for Integrating GWAS Data with Molecular Endophenotypes Presentation Wei Pan, University of Minnesota
3:25 PM	A Versatile and Adaptive Multiple Functional Annotations-Based Association Test of Whole-Genome Sequencing Data Presentation Peng Wei, The University of Texas MD Anderson Cancer Center; Yiding Ma, The University of Texas MD Anderson Cancer Center
3:45 PM	Floor Discussion

387	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 213
Foundations of Data Science — Invited Papers
IMS, Section on Statistical Learning and Data Science, Royal Statistical Society, SSC
Organizer(s): Sofia C Olhede, University College London
Chair(s): Sofia C Olhede, University College London
2:05 PM	A Statistical View on Optimal Transport: Inference, Algorithms, Applications Axel Munk, University of Goettingen; Joern Schrieber, Department for Mathematics and Computer Science; Max Sommerfeld, Department for Mathematics and Computer Science; Carla Tameling, Department for Mathematics and Computer Science
2:30 PM	Large Numbers of Explanatory Variables Heather Battey, Imperial College London; David Cox, Nuffield College
2:55 PM	A Fast Algorithm with Minimax Optimal Guarantees for Topic Models with an Unknown Number of Topics Presentation Florentina Bunea, Cornell Univeristy
3:20 PM	Discussant: Patrick J Wolfe, Purdue University
3:45 PM	Floor Discussion

388 *	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 122
Statistical and Computational Advances in Cancer Genomics with Application to Precision Medicine — Invited Papers
Section on Statistics in Genomics and Genetics, SSC
Organizer(s): Ronglai Shen, Memorial Sloan-Kettering Cancer Center
Chair(s): Ronglai Shen, Memorial Sloan-Kettering Cancer Center
2:05 PM	Distinguishing Second Primary Cancers from Metastases: Statistical Challenges in Testing Clonal Relatedness of Tumors Presentation Colin B Begg, Memorial Sloan Kettering Cancer Center
2:30 PM	Tumor Heterogeneity in Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma Presentation Ruibin Xi, Peking University
2:55 PM	Unsupervised Learning for Deciphering Mutational Signatures in Human Cancer Presentation Ludmil B Alexandrov, University of California, San Diego; Velimir V Vesselinov, Los Alamos National Lab; Boian S Alexandrov, Los Alamos National Lab
3:20 PM	Predicting Cancer Outcomes from Genomics Data Peter Campbell, Wellcome Trust Sanger Institute
3:45 PM	Floor Discussion

393 * !	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 301
A Life Cycle View of Statistics — Invited Panel
Section on Physical and Engineering Sciences, Section on Statistical Learning and Data Science, Section on Statistical Consulting, SSC
Organizer(s): David Steinberg, Tel Aviv University
Chair(s): David Steinberg, Tel Aviv University
2:05 PM	A Life Cycle View of Statistics Presentation 1 Presentation 2 Presentation 3
Panelists:	Laura Freeman, Institute for Defense Analysis Ron S Kenett, KPA Group John Peterson, Glaxo-Smith-Kline Agus Sudjianto, Wells Fargo
3:40 PM	Floor Discussion

397 * !	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-East 19
Statistical Learning for Epigenomics Data — Topic Contributed Papers
SSC, Section on Statistics in Genomics and Genetics, Section on Statistical Learning and Data Science
Organizer(s): Michael M. Hoffman, Princess Margaret Cancer Centre/University of Toronto
Chair(s): Pingzhao Hu, University of Manitoba
2:05 PM	Inference of Transcription Factor Binding Sites in New Cell Types from Open Chromatin and Gene Expression Data Michael M. Hoffman, Princess Margaret Cancer Centre/University of Toronto; Mehran Karimzadeh, University of Toronto
2:25 PM	Detecting Developmental Expression Switches from Transcriptomic and Epigenomic Data Presentation Claudia Kleinman, McGill University; Marie Forest, Lady Davis Research Institute, McGill University; Selin Jessa, McGill University; Celia M.T. Greenwood, Lady Davis Research Institute, McGill University
2:45 PM	Inferring the Impact of Genetic Variation on Regulatory Networks Sara Mostafavi
3:05 PM	Understanding Gene Regulation Through Graph-Based Posterior Regularization in Structured Probabilistic Models Presentation Maxwell Libbrecht, Simon Fraser University
3:25 PM	A Smoothed EM-Algorithm for Modeling DNA Methylation Profiles from Bisulfite Sequencing Data Presentation Karim Oualkacha, Universite Du Quebec a Montreal; Celia M.T. Greenwood, Lady Davis Research Institute, McGill University; Kaiqiong Zhao, Epidemiology, Biostatistics and Occupational Health, and Human Genetics, McGill University; Lajmi Lakhal-Chaieb, Université Laval
3:45 PM	Floor Discussion

414	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-East 16
Advances in Estimation Methods — Contributed Papers
SSC
Chair(s): Sahir Rai Bhatnagar, McGill University
2:05 PM	Optimal Regression Designs Under the Second-Order Least Squares Estimator Presentation Julie Zhou, University of Victoria; Chi-Kuang Yeh, University of Victoria
2:20 PM	Modeling Changes in the Age Distribution of Opioid Mortality Patrick E Brown, University of Toronto; Ye Lennon Li, Public Health Ontario
2:35 PM	Inference on the Treatment Effect in Non-Randomized Pretest-Posttest Studies with Missing Data: An Empirical Likelihood Approach Shixiao Zhang, University of Waterloo; Peisong Han, University of Michigan; Changbao Wu, University of Waterloo
2:50 PM	A G-Formula Estimator for Performing Causal Mediation Analysis with Survival Outcomes: Investigating the Relationship Between Statins, Cholesterol and Cardiovascular Diseases Presentation Denis Talbot, Universite Laval; Joseph A Delaney, University of Washington School of Public Health; Veit Sandfort, National Institutes of Health; David M Herrington, Heart and Vascular Center of Excellence; Robyn L McClelland, University of Washington School of Public Health
3:05 PM	Doubly Robust Estimation and Causal Inference for Recurrent Event Data Chien-Lin Mark Su, McGill University; Russell Steele, McGill University; Ian Shrier, McGill University
3:20 PM	Incorporating Auxiliary Information by Joint Modeling of Pseudo Data and Length Biased Data Yidan Shi, University of Waterloo; Leilei Zeng, University of Waterloo; Mary E. Thompson, University of Waterloo; Suzanne Tyas, University of Waterloo
3:35 PM	A Generalization of the Horvitz-Thompson Estimator Presentation Alain Theberge

421	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 218
Advances in Bayesian Modeling and Inferential Methods — Contributed Papers
International Society for Bayesian Analysis (ISBA), SSC
Chair(s): Xinyi Xu, The Ohio State University
2:05 PM	Hierarchical Bayesian Analysis for Stochastic Frontier Production Function Model Presentation Seongho Song, University of Cincinnati; Younshik Chung, Pusan National University; David Taesok Yi, Xavier University
2:20 PM	Bayesian Nonparametric Models for Multivariate Processes in Phylodynamics Using Stochastic Differential Equations James Faulkner, University of Washington; Vladimir N. Minin, University of California, Irvine
2:50 PM	Bayesian Generalized Smoothing Spline ANOVA with Dimension Reduction Presentation Chin-I Cheng, Central Michigan University; Paul Speckman, University of Missouri-Columbia
3:05 PM	Complexity Results for MCMC Derived from Quantitative Bounds Jun Yang, University of Toronto; Jeffrey S Rosenthal, University of Toronto
3:20 PM	Floor Discussion

434	Tue, 7/31/2018, 2:00 PM - 2:45 PM	CC-West Hall B
SPEED: Classification and Data Science — Contributed Poster Presentations
Section on Statistical Learning and Data Science, SSC
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
21:	Targeted Maximum Likelihood Estimation of Causal Effects Based on Observing a Single Time Series Ivana Malenica; Mark van der Laan, UC Berkeley
22:	Accessible Statistical Reports in R: Using R, Markdown, and Word to Create Accessible Reproducible Documents Robert Montgomery, NORC; Peter Herman, NORC at the University of Chicago; Qiao Ma, NORC at the University of Chicago; Stephen Schacht, NORC at the University of Chicago
23:	Differentiable Approximations of Hidden Markov Models for Variational Bayesian Inference Lun Yin, Duke Institute for Brain Sciences; John Pearson, Duke University
24:	How to Effectively Communicate Misunderstood Statistical Terms Hoiyi Ng, Amazon; Paavni Rattan, Amazon
25:	Aggregated Pairwise Classification of Statistical Shapes with Optimal Points of Projection Min Ho Cho, The Ohio State University; Sebastian Kurtek, The Ohio State University; Steve MacEachern, The Ohio State University
26:	Supervised Dimension Reduction for Large-Scale Genomic Data with Censored Survival Outcomes Under Possible Non-Proportional Hazards Lauren Spirko, Temple University; Karthik Devarajan, Fox Chase Cancer Center
27:	Improving a Predictive Model of Student Progress in an Online Course by Adding Learned Features from Unstructured Text Data Huafeng Zhang, The Refugee Center Online
28:	Classification via Product Conditional Density Estimates: Blending LDA and QDA Jiae Kim; Steve MacEachern, The Ohio State University
29:	Comparison of Missing Data Methods in the Use of LASSO Regression for Model Selection with Applications to the National Trauma Data Bank Sarah B Peskoe, Duke University; Tracy Truong, Duke University; Lily R Mundy, Duke University School of Medicine; Ronnie L Shammas, Duke University School of Medicine; Scott T Hollenbeck, Duke University School of Medicine
30:	An Alternative to the Carnegie Classifications: Using Structural Equation Models to Identify Similar Doctoral Institutions Paul Harmon, Montana State University; Sarah McKnight, Montana State University; Laura Hildreth, Montana State University; Ian C. Godwin, Montana State University Office of Planning and Analysis; Mark Greenwood, Montana State University
31:	Efficient Semiparametric Generalized Linear Models Based on Exponentially Tilted Splines William H Aeberhard, Dalhousie University; Mark Hannay, Intrum Justitia CH
32:	A Machine Learning (ML) Approach to Prognostic and Predictive Covariate Identification for Subgroup Analysis and Hypotheses Generation David A James, Novartis
33:	A Direct Approach to High-Dimensional Error-In-Variables Regression Yunan Wu, University of Minnesota; Lan Wang, University of Minnesota
34:	A Modified Approach to Component-Wise Gradient Boosting for High-Dimensional Regression Models Brandon Butcher, University of Iowa; Brian J. Smith, University of Iowa
35:	Efficient Big Data Model Selection with Applications to Fraud Detection Gregory Vaughan, Bentley University
36:	Predicting Overflow: A Novel Application of Latrine Sensors and Machine Learning for Optimizing Sanitation Services in Informal Settlements Phillip Turman-Bryant, Portland State University; Evan Thomas, Portland State University
37:	Undergraduate Data Science Statistics Pathways: What Is Needed for Entry into the Major? Rebecca Hartzler, Charles A. Dana Center, University of Texas at Austin; Nicholas J. Horton, Amherst College
38:	Assessing Divide-and-Conquer Latent Class Analysis Qiao Ma, NORC at the University of Chicago; Meimeizi Zhu, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago
39:	Lookalike Audience Modeling Sam Hawala, Resonate-Networks
Oral Presentations for this session.

435	Tue, 7/31/2018, 3:05 PM - 3:50 PM	CC-West Hall B
SPEED: Sports to Fire: Fascinating Applications of Statistics — Contributed Poster Presentations
Section on Statistics in Sports, SSC, Section on Statistics in Imaging, Section on Statistical Computing, Section on Statistical Consulting, Section on Statistical Learning and Data Science, Section on Statistics in Epidemiology, Statistical Auditing Interest Group, Transportation Statistics Interest Group, Section on Teaching of Statistics in the Health Sciences, Section for Statistical Programmers and Analysts
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1:	Claim-Level Models Using Statistical Learning Techniques and Risk Analysis Mathieu Pigeon, Université du Québec à Montréal; Francis Duval, Université du Québec à Montréal
2:	Beach Volleyball Team Optimization Matthew Oehler, BYU
3:	Distributions of Time to First Spot Fire Trevor Thomson, Simon Fraser University
4:	Rao-Blackwellizing Field Goal Percentage in the NBA Daniel Daly-Grafstein, Simon Fraser University; Luke Bornn, Sacramento Kings and Simon Fraser University
5:	Estimating Attendance at Non-Ticketed Non-Gated Events Carl Schwarz, Simon Fraser University
8:	Teaching Statistics Graduate Students the Importance of Reproducible Research Kristen McQuerry, University of Kentucky
9:	Shared and Study-Specific Dietary Patterns: a Novel Approach to Replicability and Validity Roberta De Vito; Carlo La Vecchia, Università degli Studi di Milano; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Valeria Edefonti, Università degli Studi di Milano
10:	Statistical Ethics and Challenging Substantial Errors in Statistical Methods and Results in a Prominent Peer Reviewed Economics Journal Chris Barker, Statistical Planning and Analysis Services, Inc.
11:	To Bet or Not to Bet - the Modified Kelly Criteria Dani Chu, SFU Sports Analytics Club; Yifan Wu, Simon Fraser University; Tim Swartz, Simon Fraser University
12:	The Home Run Spike of MLB 2017: Drop in Quality of Pitch (QOP) Is a Missing Factor Jason Wilson, Biola University
13:	An Application of Machine Learning for 3D IC Defect Detection Meihui Guo, National Sun Yat-Sen University; Yu-Jung Huang, I-Shou University
15:	The Simple Story of Advanced NBA Metrics Zach Fulker, University of Pittsburgh; Tyler Folta, University of Pittsburgh; Lucas Mentch, University of Pittsburgh
16:	Application of Email Spam Filtering Algorithms to SMS Data Yishu Xue, University Of Connecticut
17:	MLB Rule IV Draft: Valuing Draft Pick Slots Anthony Cacchione, City College of New York
18:	Assessing the Impact of Practice Restriction Rules on Injury Rates in the National Football League (NFL) Zachary Binney, Rollins School of Public Health, Emory University; Cecile Janssens, Rollins School of Public Health, Emory University; Kyle E Hammond, Emory University School of Medicine; Mitchel Klein, Rollins School of Public Health, Emory University; Michael Goodman, Emory University
Oral Presentations for this session.

216515	Tue, 7/31/2018, 5:30 PM - 7:00 PM	Off Site
Statistical Society of Canada Reception — Other ICW
SSC
Organizer(s): Robert Platt, SSC

450	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 203
Inference with Clustered Data: Lessons from Multiple Disciplines — Invited Papers
Survey Research Methods Section, Business and Economic Statistics Section, Biometrics Section, SSC
Organizer(s): Stas Kolenikov, Abt Associates
Chair(s): David R Judkins, Abt Associates
8:35 AM	Modeling Covariance Structure for Longitudinal Data Presentation Annie Qu, University of Illinois at Urbana-Champaign
9:00 AM	How Clustered Standard Errors Are Changing Applied Econometrics Presentation James Gordon MacKinnon, Queen's University
9:25 AM	Pseudo-Population Bootstrap Procedures for Multi-Stage Sampling Designs Sixia Chen, University of Oklahoma; David Haziza, Université de Montréal
9:50 AM	Discussant: Stas Kolenikov, Abt Associates
10:15 AM	Floor Discussion

452 * !	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 109
Advancements in Complex Functional Data Analysis — Invited Papers
ENAR, Biometrics Section, Section on Nonparametric Statistics, SSC
Organizer(s): Luo Xiao, North Carolina State University
Chair(s): Luo Xiao, North Carolina State University
8:35 AM	Boosting Functional Response Models for Location, Scale, and Shape with an Application to Bacterial Competition Almond Stöcker, LMU Munich; Sarah Brockhaus, LMU Munich; Sophia Schaffer, LMU Munich; Benedikt von Bronk, LMU Munich; Madeleine Opitz, LMU Munich; Sonja Greven, LMU Munich
9:00 AM	Matrix Factorization Approaches to Analysis of Functional Count Data Presentation 1 Presentation 2 Daniel Backenroth, Columbia University; Russell T Shinohara, University of Pennsylvania; Jeff Goldsmith, Columbia University
9:25 AM	Longitudinal Dynamic Functional Regression: Modeling and Inference Md Islam, North Carolina State University; Ana-Maria Staicu, NC State University; Eric van Heugten, North Carolina State University
9:50 AM	Bayesian Regression Models for Big Spatially or Longitudinally Correlated Functional Data Presentation Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Lin Zhang, University of Minnesota; Hongxiao Zhu, Virginia Tech University; Veera Baladandayuthapani, UT MD Anderson Cancer Center; Hojin Yang, The University of Texas M.D. Anderson Cancer Center; Wonyul Lee, Food and Drug Administration; Michelle Miranda, The University of Texas M.D. Anderson Cancer Center; Philip Rausch, Humboldt University
10:15 AM	Floor Discussion

453 !	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 215/216
Novel Theory and Methods in Big Data Analytics — Invited Papers
Section on Statistical Learning and Data Science, Section on Physical and Engineering Sciences, Section on Statistical Computing, SSC
Organizer(s): Ping Ma, University of Georgia
Chair(s): Ping Ma, University of Georgia
8:35 AM	Statistical Inference for Big Data via Optimal Subsampling Presentation HaiYing Wang, University of Connecticut
9:00 AM	Statistical Leverage and Its Usage in Variable Screening Wenxuan Zhong, University of Georgia; Yiwen Liu, University of Georgia; Peng Zeng, Auburn University
9:25 AM	Complex Interaction Modeling with Liquid Association Presentation Ker-Chau Li, Institute of Statistical Science, Academia Sinica
9:50 AM	Iterative Random Forests (IRF) to Discover Predictive and Stable High-Order Interactions Bin Yu, UC Berkeley; Sumanta Basu, Cornell University; Karl Kumbier, UC Berkeley; Ben Brown, LBNL and University of Birmingham
10:15 AM	Floor Discussion

454 * !	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 110
Advances and Applications of Joint Modeling for Longitudinal and Time-To-Event Data — Invited Papers
WNAR, ENAR, Biometrics Section, SSC
Organizer(s): Peter Gilbert, Fred Hutchinson Cancer Research Center; Yunda Huang, Fred Hutchinson Cancer Research Center
Chair(s): Ross Prentice, Fred Hutchinson Cancer Research Center
8:35 AM	A Nonlinear Model for Truncated and Mismeasured Time-Varying Covariates in Joint Models for Longitudinal and Survival Data Presentation Lang Wu, University of British Columbia
8:55 AM	Joint Analysis of Multiple Highly Correlated Biomarkers and an Event Time via a Longitudinal Principal Component Approach Gang Li, UCLA
9:15 AM	Improve Risk Prediction Model Estimation with Longitudinal Surrogate Markers Presentation Yu Zheng, Harvard T.H. Chan School of Public Health; Tianxi Cai, Harvard T.H. Chan School of Public Health; Lu Tian, Stanford University School of Medicine
9:35 AM	Assessing Pharmacokinetic Marker Correlates of a Failure Time Outcome, with Application to HIV Prevention Efficacy Trials Presentation Peter Gilbert, Fred Hutchinson Cancer Research Center; Lily Zhang, Fred Hutchinson Cancer Research Center; Erika Thommes, Fred Hutchinson Cancer Research Center; Yunda Huang, Fred Hutchinson Cancer Research Center
9:55 AM	Discussant: Patrick James Heagerty, University of Washington
10:15 AM	Floor Discussion

456 !	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 306
Introductory Lectures on Recent Advancements in Computational Statistics — Invited Papers
Statistics Surveys Online Journal, Section on Statistical Graphics, Section on Statistical Computing, SSC
Organizer(s): Wendy L Martinez, Bureau of Labor Statistics
Chair(s): Richard Lockhart, Simon Fraser University
8:35 AM	Visualizing Data Using T-SNE Laurens van der Maaten, Facebook AI Research
9:00 AM	Beyond the Bayesian Lasso: a Review of Continuous Shrinkage Priors Presentation Maryclare Griffin, University of Washington
9:25 AM	Topological Data Analysis: Case Studies and an Applied Overview Adam Jaeger, Indiana University
9:50 AM	Discussant: Edoardo M Airoldi , Harvard University
10:10 AM	Floor Discussion

466 * !	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 222
First-Hitting-Time Based Threshold Regression and Applications — Topic Contributed Papers
Section on Risk Analysis, Lifetime Data Analysis Interest Group, International Chinese Statistical Association, SSC
Organizer(s): Mei-Ling Ting Lee, University of Maryland
Chair(s): Man-Hua Chen, Tamkang University
8:35 AM	Estimating Time-to-Event Characteristics via Longitudinal Threshold Regression Models - an Application to Cervical Dilation Progression Presentation Caroline Mulatya, Emmes; Alexander C McLain , University of South Carolina; Bo Cai, University of South Carolina; James Hardin, University of South Carolina; Paul S Albert, National Cancer Institute
8:55 AM	Bayesian Semiparametric Threshold Regression Presentation Jonathan Race; Michael Pennell, Ohio State University
9:15 AM	Distribution-Free Inference Methods for Threshold Regression Presentation Mei-Ling Ting Lee, University of Maryland; George A Whitmore, McGill University
9:35 AM	Censored Threshold Regression with Diverging Number of Covariates Takumi Saegusa, University of Maryland; Mei-Ling Ting Lee, University of Maryland
9:55 AM	Discussant: George A Whitmore, McGill University
10:15 AM	Floor Discussion

467 *	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 122
Statistical Advances for Cancer Genomics and Immunogenomics - from Single-Cell to Correlated Population — Topic Contributed Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, WNAR, SSC
Organizer(s): Qunhua Li, Penn State University
Chair(s): Ying Huang, Fred Hutchinson Cancer Research Center
8:35 AM	Variability-Preserving Imputation for Accurate Gene Expression Recovery in Single Cell RNA Sequencing Studies Presentation Mengjie Chen, University of Chicago; Xiang Zhou, U of Michigan
8:55 AM	ScImpute: Accurate and Robust Imputation for Single Cell RNA-Seq Data Presentation Jingyi Li, University of California, Los Angeles; Wei Li, University of California, Los Angeles
9:15 AM	Using RNA-Seq Data to Study Patients' Response on Tumor Immunotherapy Wei Sun, Fred Hutchinson Cancer Research Center; Chong Jin, UNC-Chapel Hill; Paul Little, UNC Chapel Hill; Danyu Lin, University of North Carolina; Mengjie Chen, University of Chicago
9:35 AM	A Discrete Threshold Model for the Clone Size Distribution of the Immune Repertoire Qunhua Li, Penn State University; Hillary Koch, Penn State University; Dmytro Starenki, Hudson Alpha Institute for Biotechnology; Sara Cooper, HudsonAlpha Institute of Biotechnology; Rick Myers, HudsonAlpha Institute of Biotechnology
9:55 AM	Sequencing Data, Repeated Measures and Genetic Heritability Katerina Kechris, Colorado School of Public Health; Brian Vestal, National Jewish Health; Wen Jenny Shi, University of Colorado Anschutz Medical Campus; Pratyaydipta Rudra, University of Colorado at Denver; Pamela Russell, University of Colorado Anschutz Medical Campus; Laura Saba, University of Colorado Anschutz Medical Campus
10:15 AM	Floor Discussion

492 * !	Wed, 8/1/2018, 10:30 AM - 12:20 PM	CC-West 222
Recent Advances in Modeling Complex Dependent Data — Invited Papers
Business and Economic Statistics Section, IMS, Society for Risk Analysis, SSC
Organizer(s): Scott H. Holan, University of Missouri/U.S. Census Bureau
Chair(s): Scott H. Holan, University of Missouri/U.S. Census Bureau
10:35 AM	Count Time Series Models Based on Expectation Thinning Operators Presentation Harry Joe, University of British Columbia
11:05 AM	Spatio-Temporal Modeling of Heavy-Tailed Data via Non-Gaussian Latent Processes Presentation Gabriel Huerta, University of New Mexico; Kellin Rumsey, University of New Mexico
11:35 AM	Hierarchical Models with Conditionally Conjugate Full-Conditional Distributions for Dependent Data from the Natural Exponential Family Presentation Jonathan R Bradley, Florida State University; Scott H. Holan, University of Missouri/U.S. Census Bureau; Christopher K. Wikle, University of Missouri
12:05 PM	Floor Discussion

493	Wed, 8/1/2018, 10:30 AM - 12:20 PM	CC-West 306
New Statistical Methods for Lumber Analytics — Invited Papers
SSC
Organizer(s): Jim Zidek, University of British Columbia
Chair(s): Jim Zidek, University of British Columbia
10:35 AM	Semiparametric Monitoring Test Based on Clustered Data Presentation Jiahua Chen, University of British Columbia; Pengfei Li, University of Waterloo; yukun liu, East China Normal University; Jim Zidek, University of British Columbia
11:00 AM	Sparse Functional Partial Least Squares Method for Spectral Analysis Presentation Jiguo Cao, Simon Fraser University; Tianyu Guan, Simon Fraser University; Kevin Groves, FPInnovation; Martin Feng, FPInnovation
11:25 AM	Bayesian Parametric Models Without Likelihoods: Assessing Accumulated Damage in Forest Products Samuel WK Wong, University of Florida; Jim Zidek, University of British Columbia; Chun-Hao Yang, University of Florida
11:50 AM	Discussant: Conroy Lum, FPInnovations
12:15 PM	Floor Discussion

494 *	Wed, 8/1/2018, 10:30 AM - 12:20 PM	CC-West Ballroom A
Clinical Trial Design for Precision Oncology — Invited Papers
ENAR, Biopharmaceutical Section, Biometrics Section, SSC
Organizer(s): Mithat Gonen, Memorial Sloan Kettering Cancer Center
Chair(s): Mithat Gonen, Memorial Sloan Kettering Cancer Center
10:35 AM	Evaluating the Statistical Properties of Bayesian Basket Trial Designs Kristen May Cunanan, Memorial Sloan Kettering Cancer Center; Alexia Iasonos, Memorial Sloan Kettering Cancer Center; Ronglai Shen, Memorial Sloan-Kettering Cancer Center; Colin B Begg, Memorial Sloan Kettering Cancer Center; Mithat Gonen, Memorial Sloan Kettering Cancer Center
11:05 AM	Bayesian Uncertainty Directed Trial Designs Lorenzo Trippa, Harvard
11:35 AM	Discussant: Gary Rosner, Johns Hopkins University
12:05 PM	Floor Discussion

497 * !	Wed, 8/1/2018, 10:30 AM - 12:20 PM	CC-West 121
Cloud and Distributed Computing for Statisticians — Invited Papers
Section on Statistical Computing, SSC
Organizer(s): Ryan Hafen, Hafen Consulting, LLC
Chair(s): Ryan Hafen, Hafen Consulting, LLC
10:35 AM	The CloudyR Project: Statistical Cloud Computing in R with Amazon and Google Thomas J. Leeper, London School of Economics
11:05 AM	Distributed Data Science with Sparklyr Kevin Kuo, RStudio; Javier Luraschi, RStudio
11:35 AM	Distributed Machine Learning with H2O Presentation Navdeep Gill, H2O.ai
12:05 PM	Floor Discussion

507 * !	Wed, 8/1/2018, 10:30 AM - 12:20 PM	CC-East 14
Bayesian Data Science and Statistical Science — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Section on Statistical Learning and Data Science, SSC
Organizer(s): Tamara Broderick, Massachusetts Institute of Technology
Chair(s): Rajesh Ranganath, NYU Courant Institute of Mathematical Science
10:35 AM	Polynomial Approximate Sufficient Statistics for Scalable Bayesian Inference Presentation Tamara Broderick, Massachusetts Institute of Technology
10:55 AM	Robust Clustering Using Power Posteriors: Calibration and Inference Presentation Jeffrey Miller, Harvard School of Public Health; David B Dunson, Duke University
11:15 AM	Inferring Social Structure from Continuous-Time Interaction Data Bailey Fosdick, Colorado State University; Wesley Lee, University of Washington; Tyler McCormick, University of Washington
11:35 AM	Probabilistic Programming with Non-Parametric Bayesian Model Discovery in BayesDB Presentation Vikash Mansinghka; Feras Saad, MIT
11:55 AM	Discussant: Nicholas Foti, University of Washington
12:15 PM	Floor Discussion

528	Wed, 8/1/2018, 10:30 AM - 12:20 PM	CC-West 119
Analysis of Big Data — Contributed Papers
Section on Statistical Learning and Data Science, SSC
Chair(s): Elizabeth Chou, National Chengchi University
10:35 AM	Hybridized Threshold Clustering for Massive Data Presentation Jianmei Luo, KANSAS STATE UNIVERSITY; Michael Higgins, KANSAS STATE UNIVERSITY; William Henry Hsu, KANSAS STATE UNIVERSITY; ChandraVyas Annakula, KANSAS STATE UNIVERSITY; Aruna Sai Kannamareddy, KANSAS STATE UNIVERSITY
10:50 AM	Fusion Learning with High-Dimensionality Presentation Xin Gao, York University; Raymond J. Carroll, Texas A & M University
11:05 AM	High-Dimensional Regression for Microbiome Compositional Data Presentation Xiaohan Yan, Cornell University; Jacob Bien, University of Southern California; Christian Mueller, Flatiron Institute
11:35 AM	Penalized Jackknife Empirical Likelihood in High Dimension Presentation Na Zhao; jinfeng Xu, The University of Hong Kong
11:50 AM	Correct Model Selection in Big Data Analyzes Katherine Thompson, University of Kentucky
12:05 PM	Floor Discussion

554 * !	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 301
Deep Learning and Statistical Modeling with Applications — Invited Papers
Biometrics Section, Section on Statistics in Imaging, Section on Statistical Learning and Data Science, SSC
Organizer(s): Hongtu Zhu, University of Texas M.D. Anderson
Chair(s): Chuanhai Liu, Purdue University
2:05 PM	Deep Learning in Quantitative Imaging Analysis Hongtu Zhu, University of Texas M.D. Anderson
2:30 PM	Cooperative Learning of Deep Energy-Based Model and Latent Variable Model via MCMC Teaching Presentation Ying Nian Wu, UCLA
2:55 PM	Think Deeper with Deep Learning Presentation Saratendu Sethi, SAS Institute Inc.
3:20 PM	Weight Normalized Deep Neural Networks Presentation Xiao Wang , Purdue University; Yixi Xu, Purdue University
3:45 PM	Floor Discussion

556	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 122
The State of Peer-Review and Publication in Statistics and the Sciences — Invited Papers
ENAR, Committee on Publications, Scientific and Public Affairs Advisory Committee, SSC
Organizer(s): Ryan Martin, North Carolina State University
Chair(s): Ryan Martin, North Carolina State University
2:05 PM	A World Without Referees Larry Wasserman, Carnegie Mellon University
2:30 PM	How Publishing Peer Review Histories Alongside Articles Promotes Ethical Publishing Practices Presentation Corina Logan, Max Planck Institute for Evolutionary Anthropology
2:55 PM	Continuous Improvement in Academic Publishing Hal Stern, University of California, Irvine
3:20 PM	Discussant: Harry Crane, Rutgers
3:45 PM	Floor Discussion

562 *	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 304/305
Integrating Neuroimaging and Genomics Data — Invited Papers
Section on Statistics in Imaging, Section on Statistics in Genomics and Genetics, Section on Statistical Learning and Data Science, SSC
Organizer(s): Elizaveta Levina, University of Michigan
Chair(s): Elizaveta Levina, University of Michigan
2:05 PM	Genetic Correlations Between Imaging Traits and Common Diseases Presentation Hongyu Zhao, Yale
2:30 PM	Combining (Epi)Genetic and Imaging Data with Multivariate Data-Driven Models Vince Calhoun, The Mind Research Network & The University of New Mexico
2:55 PM	Using Omics Data to Guide Network Classification in Neuroimaging Studies of Brain Diseases Jean Yee Hwa Yang, University of Sydney, Australia; Elizaveta Levina, University of Michigan; Mengbo Li, University of Sydney; Jesús Arroyo , University of Michigan; Daniel A. Kessler, University of Michigan
3:20 PM	Discussant: Hongtu Zhu, University of North Carolina
3:45 PM	Floor Discussion

563 * !	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 206/207
Mechanisms of Interference: New Strategies for Identification and Estimation — Invited Papers
Social Statistics Section, Statistics and Public Policy, IMS, SSC
Organizer(s): Forrest W Crawford, Yale School of Public Health; Fredrik Sävje, Yale University
Chair(s): Jasjeet Sekhon, UC Berkeley
2:05 PM	Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks Laura Forastiere, Yale; Edoardo M Airoldi , Harvard University
2:25 PM	Causal Inference Under Unmodeled and All-Encompassing Interference Presentation Fredrik Sävje, Yale University
2:45 PM	Exact Conditional Randomization Tests for Causal Effects Under Interference Presentation Panagiotis Toulis, University of Chicago; Avi Feller, UC Berkeley; Guillaume Basse, Harvard University
3:05 PM	Estimation of Contagion Effects in Households and Other Networks Forrest W Crawford, Yale School of Public Health; Wen Wei Loh, Ghent University
3:25 PM	Discussant: David Choi, Carnegie Mellon University
3:45 PM	Floor Discussion

566	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 215/216
Nonparametrics on Graphs — Invited Papers
IMS, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, SSC
Organizer(s): Ryan Tibshirani, Carnegie Mellon University
Chair(s): Edward Kennedy, Carnegie Mellon University
2:05 PM	Signal Processing Over Graphs: Methods and Applications James Sharpnack, UC Davis
2:35 PM	Multiresolution Matrix Factorization for Inference on Graphs Risi Kondor, University of Chicago
3:05 PM	Fundamental Limits of Sampling Smooth Signals on Graphs Rohan A. Varma, Carnegie Mellon University; Aarti Singh, Carnegie Mellon University
3:35 PM	Floor Discussion

600	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 121
Spatial Statistics When Sampling Is Informative — Invited Papers
SSC, Canadian Statistical Sciences Institute, Section on Statistics and the Environment, Survey Research Methods Section
Organizer(s): Patrick E Brown, University of Toronto
Chair(s): Patrick E Brown, University of Toronto
8:35 AM	Modeling Preferential Site Selection in Networks Used to Monitor Environmental Spatio-Temporal Processes Presentation Jim Zidek, University of British Columbia; Joe Watson, UBC; Gavin Shaddick , University of Exeter
9:00 AM	Real Time PM2.5 Mapping and Anomaly Detection from AirBoxes in Taiwan Guowen Huang, National Tsing Hua University
9:25 AM	Spatial Modeling for Ecological Surveys - Contributions from and to Point Process Modeling Presentation Janine Illian, University of St Andrews
9:50 AM	EM, EMS, and a Root Gaussian Cox Process for Aggregated Spatio-Temporal Data Presentation Jamie Stafford, University of Toronto
10:15 AM	Floor Discussion

602	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 222
Theory at the Intersection of Machine Learning and Statistics — Invited Papers
IMS, Mathematical Association of America, WNAR, SSC
Organizer(s): Andrew B Nobel, University of North Carolina at Chapel Hill
Chair(s): Andrew B Nobel, University of North Carolina at Chapel Hill
8:35 AM	Sequential Prediction, Martingale Tail Bounds and Automatic Machine Learning Karthik Sridharan, Cornell University
9:00 AM	Inference for Recursive Trees Presentation Nicolas Fraiman, University of North Carolina at Chapel Hill; Shankar Bhamidi, University of North Carolina at Chapel Hill; Andrew B Nobel, University of North Carolina at Chapel Hill; Ruituo Fan, University of North Carolina at Chapel Hill
9:25 AM	Statistical Properties of Deep Networks Presentation Peter Bartlett, UC Berkeley
9:50 AM	Subsampling and Symmetry in Networks Presentation Peter Orbanz, Columbia University
10:15 AM	Floor Discussion

603 * !	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 109
Statistical Inference for Precision Medicine and Subgroup Analysis — Invited Papers
ENAR, Health Policy Statistics Section, Social Statistics Section, Mental Health Statistics Section, SSC
Organizer(s): Minge Xie, Rutgers University
Chair(s): Xiao-Li Meng, Harvard University
8:35 AM	Inferential Challenges in Machine Learning and Precision Medicine Presentation Michael Kosorok, University of North Carolina at Chapel Hill
9:00 AM	Uncertainty Quantification of Treatment Regime in Precision Medicine by Confidence Distributions Presentation Minge Xie, Rutgers University; Yilei Zhan, Rutgers University; Sijian Wang, Rutgers University
9:25 AM	Bayesian Variable Selection in Subgroup Analysis Juan Shen, Fudan University; Naveen Naidu Narisetty, University of Illinois at Urbana Champaign; Xuming He, University of Michigan
9:50 AM	Sample Size Considerations for Precision Medicine Eric Laber, North Carlina State University
10:15 AM	Floor Discussion

608 * !	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 213
Cross-Disciplinary Research on Statistical Genomics and Bioinformatics — Invited Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, National Institute of Statistical Sciences, SSC
Organizer(s): James L Rosenberger, NISS (National Institute of Statistical Sciences) and Penn State
Chair(s): Rebecca W Doerge, Carnegie Mellon University
8:35 AM	What Has a Statistics Group Learned in Studying a Biological System Presentation Wing Hung Wong, Stanford University
9:00 AM	Learning Nonconvex Hierarchical Interactions Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
9:25 AM	Bayesian Bi-Clustering Methods with Applications to Integrative Genomics and Genetics Jun Liu, Harvard University; Yang Li, Vatic Labs; Jiexing Wu, Google
9:50 AM	Discussant: Hongzhe Li, University of Pennsylvania
10:15 AM	Floor Discussion

609 * !	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 301
Foundation or Backdrop? - the Role of Statisticians in Academic Data Science Initiatives — Invited Panel
Section on Statistical Learning and Data Science, IMS, International Statistical Institute, SSC
Organizer(s): Tian Zheng, Columbia University
Chair(s): Tyler McCormick, University of Washington
8:35 AM	Foundation or Backdrop? The Role of Statisticians in Academic Data Science Initiatives Presentation
Panelists:	Patrick J Wolfe, Purdue University Jennifer L Hill, New York University David Madigan, Columbia University Edoardo M Airoldi , Harvard University Tian Zheng, Columbia University
10:10 AM	Floor Discussion

610 * !	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 118
Collaborative Biostatistics: Finding a Happy Medium in Bridging the Gap Between Theory and Practice — Invited Panel
Section on Statistical Graphics, Section on Teaching of Statistics in the Health Sciences, Section on Statistical Consulting, Section for Statistical Programmers and Analysts, SSC
Organizer(s): Joseph Rigdon, Stanford University
Chair(s): Summer Han, Stanford University
8:35 AM	Collaborative Biostatistics: Finding a Happy Medium in Bridging the Gap Between Theory and Practice Presentation 1 Presentation 2 Presentation 3
Panelists:	Manisha Desai, Stanford University Christopher Lindsell, Vanderbilt University Phillip Schulte, Mayo Clinic Susan Halabi, Duke University Leah Welty, Northwestern University Mi-Ok Kim, University of California San Francisco
10:10 AM	Floor Discussion

613 !	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 209
Recent Advances in Network Data Inference — Topic Contributed Papers
Social Statistics Section, Section on Statistical Learning and Data Science, Section on Statistical Computing, SSC
Organizer(s): Emma Jingfei Zhang, University of Miami
Chair(s): Emma Jingfei Zhang, University of Miami
8:35 AM	Global Spectral Clustering in Dynamic Networks David Choi, Carnegie Mellon University; Fuchen Liu, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University
8:55 AM	Community Detection with Covariate Information Presentation Yang Feng, Columbia University
9:15 AM	Latent Space Approaches to Community Detection in Dynamic Networks Presentation Yuguo Chen, University of Illinois at Urbana-Champaign; Daniel Sewell, University of Iowa
9:35 AM	Dynamic Community Detection for Multiple Networks Sharmodeep Bhattacharyya, Oregon State University; Shirshendu Chatterjee, City University of New York
9:55 AM	Post-Stratification in Network Driven Sampling Presentation Yilin Zhang, University of Wisconsin-Madison; Sebastien Roch, University of Wisconsin-Madison; Karl Rohe, University of Wisconsin-Madison
10:15 AM	Floor Discussion

639 * !	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-West 224
Causal Inference Meets Statistical Learning with Complex Data — Invited Papers
ENAR, Section on Statistics in Epidemiology, Social Statistics Section, SSC
Organizer(s): Zhiqiang Tan, Rutgers University
Chair(s): Michael Elliott, University of Michigan
10:35 AM	Augmented Minimax Linear Estimation Stefan Wager, Stanford University; David Hirshberg, Columbia University
11:00 AM	Targeted Learning for Causal Inference Presentation Mark van der Laan, UC Berkeley
11:25 AM	Regularized Calibrated Estimation of Propensity Scores with Model Misspecification and High-Dimensional Data Presentation Zhiqiang Tan, Rutgers University
11:50 AM	Discovering Effect Modification in Observational Studies Presentation Dylan Small, University of Pennsylvania; Jesse Yenchih Hsu, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania; Kwonsang Lee, Harvard University; Jose Zubizarreta, Harvard University; Jeffrey Silber, University of Pennsylvania
12:15 PM	Floor Discussion

643	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-West 117
Biomarkers and Clinical Trials — Invited Papers
WNAR, Biopharmaceutical Section, Society for Clinical Trials, SSC
Organizer(s): Kathleen F. Kerr, University of Washington
Chair(s): Yingqi Zhao, Fred Hutchinson Cancer Research Center
10:35 AM	Evaluating Biomarkers for Prognostic Enrichment of Clinical Trials Kathleen F. Kerr, University of Washington; Jeremy Roth, University of Washington; Kehao Zhu, Axio Research; Heather Thiessen-Philbrook, Yale University; Allison Meisner, Johns Hopkins University; Francis Perry Wilson, Yale University; Steven Coca, Icahn School of Medicine at Mount Sinai; Chirag Parikh, Yale University
11:00 AM	Using Surrogate Biomarker Information to Plan a Future Clinical Trial Presentation Layla Parast, RAND; Tianxi Cai, Harvard T.H. Chan School of Public Health; Lu Tian, Stanford University School of Medicine
11:25 AM	Biomarker Guided Phase II Two-Stage Design for Targeted Therapy Zheyu Wang, Johns Hopkins University; Fujun Wang, Medimmune; Chenguang Wang, Johns Hopkins University; Gary Rosner, Johns Hopkins University; Jianliang Zhang, Medimmune; Hao Wang, Johns Hopkins University; Li Shi, Medimmune
11:50 AM	Evaluating the Ability of a Biomarker to Improve the Diagnosis of Malaria Infection in Malaria 'Challenge' Trials Holly Janes, Fred Hutchinson Cancer Research Center
12:15 PM	Floor Discussion

644 * !	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-West 211
Statistical Computing on Parallel Architectures — Invited Papers
Section on Statistical Computing, Section on Physical and Engineering Sciences, Section for Statistical Programmers and Analysts, SSC
Organizer(s): George Ostrouchov, Oak Ridge National Laboratory
Chair(s): Norman Matloff, University of California at Davis
10:35 AM	Success with OpenMP in R Package Data.table Matt Dowle, H2O.ai
10:55 AM	Deferred Evaluation for Scalable Computing in R Presentation Michael Lawrence, Genentech
11:15 AM	The pbdR Project: Distributed Computing with R Wei-Chen Chen, FDA/CDRH; Drew Schmidt, ORNL; George Ostrouchov, Oak Ridge National Laboratory
11:35 AM	Automatic Parallelization of R Code Presentation Clark Fitzgerald, University of California, Davis
11:55 AM	Discussant: George Ostrouchov, Oak Ridge National Laboratory
12:15 PM	Floor Discussion

646 !	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-East 10
Experimental Design Thinking for Big Data — Invited Papers
Section on Physical and Engineering Sciences, Quality and Productivity Section, International Chinese Statistical Association, SSC
Organizer(s): Xinwei Deng, Virginia Tech; C. Devon Lin, Queen's University
Chair(s): C. Devon Lin, Queen's University
10:35 AM	Information-Based Subdata Selection for LASSO Regression Presentation Min Yang, University of Illinois at Chicago; Xin Wang, University of Illinois at Chicago
11:00 AM	Information-Based Subdata Selection John Stufken, Arizona State University
11:25 AM	Embracing Experimental Design Thinking for Large-Scale Statistical Analysis Presentation Peter Chien, University of Wisconsin-Madison
11:50 AM	Discussant: Tirthankar Dasgupta, Rutgers University
12:15 PM	Floor Discussion

649 * !	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-West 212
The 'Ergonomics' of Statistics and Data Science — Invited Papers
International Statistical Institute, SSC
Organizer(s): Regina Nuzzo, Gallaudet University
Chair(s): Regina Nuzzo, Gallaudet University
10:35 AM	How Human Behavior Drives Data Science---and How We Know Almost Nothing About It Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
10:55 AM	A Systematic Approach to Data, Analysis and Interpretation for Reliable Results Presentation Stephen J. Ruberg, Eli Lilly and Company
11:15 AM	Analyzing Students' Data Analysis Pipeline Decisions to Build an Interactive, Adaptive Software Platform Presentation Rebecca Nugent, Carnegie Mellon University
11:35 AM	How Software Affects Humans' Conceptions of Data: a Case Study in R Syntaxes Amelia McNamara, Smith College
12:15 PM	Floor Discussion

651 * !	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-West 203
Expanding the Tent: Undergraduate Majors in Data Science — Invited Papers
Section on Statistical Education, Section on Statistical Learning and Data Science, Section on Statistical Computing, SSC
Organizer(s): Ben Baumer, Smith College
Chair(s): Ben Baumer, Smith College
10:35 AM	Dismantling Math, Stats, and CS Silos: PCMI Guidelines for Undergraduate Majors in Data Science Presentation Albert Y. Kim, Smith College
10:50 AM	Pathways Through the Major in Statistical and Data Science at Smith Presentation Randi L. Garcia, Smith College
11:05 AM	Herding Cats: Pros and Cons of a Large-Team Approach to Data Science at a Major Research University David Hunter, Penn State University
11:20 AM	Designing a Group Major in Data Science Deborah Nolan, University of California, Berkeley
11:35 AM	Discussant: Joseph Blitzstein, Harvard University
11:50 AM	Discussant: Mine Cetinkaya-Rundel, Duke University
12:05 PM	Floor Discussion

677	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-West 111
Variable Selection Methods in Statistical Learning — Contributed Papers
Section on Statistical Learning and Data Science, SSC
Chair(s): Hyung Park, Columbia University
10:35 AM	Variables and Interactions Generation for Logistic Regression Model via TreeNet and Association Rules Pannapa Changpetch
10:50 AM	Estimating the Error Variance in a High-Dimensional Linear Model Presentation Guo Yu, Cornell University; Jacob Bien, University of Southern California
11:05 AM	Cmenet: a New Method for Bi-Level Variable Selection of Conditional Main Effects Simon Mak, Georgia Institute of Technology; C. F. Jeff Wu, Georgia Institute of Technology
11:20 AM	Subsampling for Feature Selection in Large Regression Data Presentation Yiying Fan, Cleveland State University
11:35 AM	Semi-Supervised Learning for Joint Association and Classification Analysis of Multimodal Data Yunfeng Zhang, Texas A&M University; Irina Gaynanova, Texas A&M Univeristy
12:05 PM	Floor Discussion

JSM 2018 Online Program

Activity Details

American Statistical Association