JSM 2017 Online Program

Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme

Activity Details

8 * !	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-331/332
Statistics and the Reproducibility Crisis — Invited Papers
The American Statistician , Section for Statistical Programmers and Analysts , Section on Statistics in Genomics and Genetics , Caucus for Women in Statistics , Conference on Statistical Practice Steering Committee
Organizer(s): Nicole Lazar, University of Georgia
Chair(s): Nicole Lazar, University of Georgia
2:05 PM	The Tools for Reproducibility Exist; P-Values Aren't the Problem; It's Time for the Real Work of Data Science — Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
2:30 PM	P-Values: Variability, Reproducibility and Lessons from Multiple Testing — Naomi Altman, Penn State University
2:55 PM	Resolving the Reproducibility Crisis Using Bayesian Inference — Andrew Gelman, Columbia Unversity ; Blake McShane, Northwestern University
3:20 PM	Discussant: Valen Johnson, Texas A&M University
3:45 PM	Floor Discussion

19 * !	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-323
Advances in Statistical Modeling and Inference for Phylodynamics and Molecular Epidemiology — Topic Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics
Organizer(s): James Faulkner, University of Washington
Chair(s): Weiqiang Zhou, Johns Hopkins University Bloomberg School of Public Health
2:05 PM	Locally-Adaptive Bayesian Nonparametric Models for Multivariate Processes in Phylodynamics — James Faulkner, University of Washington ; Vladimir Minin, University of Washington
2:25 PM	Fundamental Limits of Inference in Phylodynamics — James Johndrow, Stanford University ; Julia Palacios, Stanford University
2:45 PM	Adaptive MCMC in Bayesian Phylogenetics and Phylodynamics — Guy Baele, KU Leuven ; Philippe Lemey, KU Leuven ; Andrew Rambaut, University of Edinburgh ; Marc A. Suchard, University of California, Los Angeles
3:05 PM	Bayesian Phylodynamic Inference for Infectious Disease Dynamics Using the Linear Noise Approximation — Mingwei Tang, Department of Statistics, University of Washington ; Vladimir Minin, University of Washington
3:45 PM	Floor Discussion

28	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-319
Personalized Medicine — Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics , Section on Medical Devices and Diagnostics
Chair(s): Jeffrey Miller, Harvard School of Public Health
2:05 PM	Wearable Devices in Clinical Trials — Greg Hather, Takeda Pharmaceuticals ; Ray Liu, Takeda Pharmaceuticals
2:20 PM	Semiparametric Benefiting Subgroup Identification via Credible Subgroups — Patrick Schnell, University of Minnesota ; Qi Tang, AbbVie, Inc. ; Peter Mueller, UT Austin ; Brad Carlin, University of Minnesota
2:35 PM	Determining Personalized Dosing Intervals — Xiaomao Li, university of wisconsin-madison ; Jun Shao, university of wisconsin-madison ; Menggang Yu, university of wisconsin-madison
2:50 PM	Constructing a Confidence Interval for the Fraction Who Benefit from Treatment Using Randomized Trial Data — Emily Huang, Johns Hopkins University Department of Biostatistics ; Ethan Fang, Pennsylvania State University ; Daniel Hanley, Johns Hopkins Division of Brain Injury Outcomes ; Michael Rosenblum, Johns Hopkins University
3:05 PM	Identifying Differentially Expressed Genes from Two Transcriptomes of an Individual -- a Step Toward Precision Medicine — Qike Li, University of Arizona ; Helen Zhang, University of Arizona ; Yves Lussier, University of Arizona
3:20 PM	Data Sharing for Validation of High-Throughput Chemical Screening Experiments of Cancer Cell Lines — Hongmei Liu, University of Miami ; J. Sunil Rao, University of Miami
3:35 PM	A Mixture of Mixed Logistic Regression Models for Determining Optimal Dynamic Treatment Regimes — Bing Yu ; Bruce Craig, Purdue University ; Michael Yu Zhu, Purdue University

36	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-322
Diagnostic, Prognostic, and Predictive Genomic Biomarkers for Cancer — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Chong Jin
2:05 PM	Predicting Platinum Resistance in Ovarian Cancer Treatment from Integrated Genomic Data — Esther Drill, Memorial Sloan Kettering Cancer Center ; Ronglai Shen, Memorial Sloan Kettering Cancer Center ; Yuanjia Wang , Columbia University
2:20 PM	Integrative Boosting with Multiple Genomic Platforms Improves Prediction Accuracy for Survival Time in Cancer Patients — Kin Yau Wong, The University of North Carolina at Chapel Hill ; Cheng Fan, The University of North Carolina at Chapel Hill ; Maki Tanoika , The University of North Carolina at Chapel Hill ; Joel S. Parker, The University of North Carolina at Chapel Hill ; Andrew B. Nobel, The University of North Carolina at Chapel Hill ; Donglin Zeng, University of North Carolina ; Danyu Lin, University of North Carolina ; Charles M. Perou, The University of North Carolina at Chapel Hill
2:50 PM	A Maximum Likelihood Approach for Non-Invasive Cancer Diagnosis Using Methylation Profiling of Cell-Free DNA from Blood — Carol Sun, Oak Park High School ; Wenyuan Li, UCLA
3:20 PM	Addressing Between-Study Heterogeneity and Cross Platform Data Integration for Gene Signature Selection and Clinical Prediction — Naim Rashid, University of North Carolina at Chapel Hill ; Quefeng Li, The University of North Carolina at Chapel Hill ; Joseph G Ibrahim, UNC
3:35 PM	Floor Discussion

47 * !	Sun, 7/30/2017, 4:00 PM - 5:50 PM	CC-320
Challenges in the Integrative Analysis of Multiple Genomics Studies — Invited Papers
Biometrics Section , ENAR , Section on Statistics in Genomics and Genetics
Organizer(s): Sihai Dave Zhao, University of Illinois at Urbana-Champaign
Chair(s): Ruijun Ma, Rutgers University
4:05 PM	Integrative Genetic Risk Prediction Using Nonparametric Empirical Bayes Classification — Sihai Dave Zhao, University of Illinois at Urbana-Champaign
4:30 PM	Estimating Effect-Size Distribution from Summary-Level Statistics for Large Genome-Wide Association Studies — Yan Zhang, Johns Hopkins Bloomberg School of Public Health ; Nilanjan Chatterjee, Johns Hopkins University
4:55 PM	Selective Inference in Genomics — Chiara Sabatti, Stanford University
5:20 PM	Discussant: Hongyu Zhao, Yale University
5:45 PM	Floor Discussion

54 * !	Sun, 7/30/2017, 4:00 PM - 5:50 PM	CC-314
Enabling Reproducibility in Statistical Translations of Genomics Data for Biomedical Research — Invited Papers
ENAR , Biometrics Section , Caucus for Women in Statistics , Section on Statistics in Genomics and Genetics
Organizer(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
Chair(s): Therri Usher, FDA
4:05 PM	Handle Heterogeneity in Pooled Studies — Mengling Liu, New York University School of Medicine
4:30 PM	Normalization and Reproducibility in Single Cell RNA-Seq — Zhijin Wu, Brown University
4:55 PM	A Cautionary Note on the Validation Method for Molecular Classification Studies — Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
5:20 PM	Discussant: Naomi Altman, Penn State University
5:45 PM	Floor Discussion

56 * !	Sun, 7/30/2017, 4:00 PM - 5:50 PM	CC-318
The Path from Big Data to Precision Medicine Is Paved with Statistics — Invited Panel
Section on Statistical Computing , Section on Statistics in Genomics and Genetics , American Medical Informatics Association , Stats. Partnerships Among Academe, Indust. & Govt. Committee
Organizer(s): Emma Huang, Janssen R&D
Chair(s): Pippa Simpson, Medical College of Wisconsin
4:05 PM	The Path from Big Data to Precision Medicine Is Paved with Statistics
Panelists:	Emma Huang, Janssen R&D Hae Kyung Im, University of Chicago Patrick Ryan, Janssen R&D Haochang Shou, University of Pennsylvania Vadim Zipunnikov, Johns Hopkins University Michelle Dunn, National Institutes of Health
5:40 PM	Floor Discussion

75	Sun, 7/30/2017, 4:00 PM - 5:50 PM	CC-311
Statistical Genomics in Cancer — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Anna Plantinga, University of Washington
4:05 PM	A Novel Integrative Procedure to Detect Copy Number Aberrations (CNA) in Cancer Cell Free DNA Sequence Data — Hua Huang, University of Wisconsin Milwaukee ; Chiang-Ching Huang, University of Wisconsin Milwaukee
4:20 PM	Estimation of Hepatocellular Cancer Cytokine Networks While Accounting for Biological Heterogeneity Using Bayesian Edge Regression for Undirected Graphs — Zeya Wang, Rice University ; Veera Baladandayuthapani, University of Texas MD Anderson Cancer Center ; Wenyi Wang, University of Texas MD Anderson Cancer Center ; Jeffrey S. Morris, The University of Texas M.D. Anderson Cancer Center
4:35 PM	Evaluating the Statistical Significance of Genomic Lesions in Tumors — Stanley Pounds, St. Jude Children's Research Hospital ; Xueyuan Cao, St. Jude Children's Research Hospital ; Lei Shi, St. Jude Children's Research Hospital ; Wenjian Bi, St. Jude Children's Research Hospital
4:50 PM	Pan-cancer Analysis of Differential DNA Methylation Patterns — Mai Shi, The Chinese University of Hong Kong ; Hao Wu, Emory University ; Stephen Kwok-Wing Tsui, The Chinese University of Hong Kong ; Yingying Wei, The Chinese University of Hong Kong
5:05 PM	Measures of Intra-Tumor Heterogeneity and Their Prognostic Utilities — Ning Xu, New York University ; Yongzhao Shao, New York University-School of Medicine
5:20 PM	Association Analysis Using Somatic Mutations — Yang Liu, Fred Hutchinson Cancer Research Center ; Wei Sun, Fred Hutchinson Cancer Research Center ; Qianchuan He, Fred Hutch Cancer Research Center
5:35 PM	Detecting Circulating Tumor DNA Sequences — Victor Song, University of North Texas

83	Sun, 7/30/2017, 8:30 PM - 10:30 PM	CC-Halls A&B
Your Invited Poster Evening Entertainment: No Longer Board — Invited Poster Presentations
Astrostatistics Special Interest Group , Biometrics Section , Biopharmaceutical Section , Business and Economic Statistics Section , ENAR , Government Statistics Section , IMS , International Society for Bayesian Analysis (ISBA) , Section for Statistical Programmers and Analysts , Section on Statistical Consulting , Section on Statistical Education , Section on Statistical Learning and Data Science , Section on Statistics and the Environment , Social Statistics Section , Survey Research Methods Section , Section on Statistics in Genomics and Genetics
Chair(s): Jessi Cisewski, Yale University
1:	Overview of SAMSI Program on Statistical, Mathematical and Computational Methods for Astronomy (ASTRO) — Gutti Jogesh Babu, The Pennsylvania State University ; David Jones, SAMSI / Duke
2:	A Multi-Resolution 3D Map of the Intergalactic Medium via the Lyman-Alpha Forest — Collin Eubanks, Carnegie Mellon University ; Jessi Cisewski, Yale University ; Rupert Croft, Carnegie Mellon University ; Doug Nychka, National Center for Atmospheric Research ; Larry Wasserman, Carnegie Mellon
3:	Testing Bayesian Galactic Mass Estimates Using Outputs from Hydrodynamical Simulations — Gwendolyn Eadie, McMaster University ; Benjamin Keller, McMaster University ; William Harris, McMaster University ; Aaron Springford, Queen's University
4:	Quantifying Discovery in Astro/Particle Physics: Frequentist and Bayesian Perspectives — David Van Dyk, Imperial College London ; Sara Algeri, Imperial College London ; Jan Conrad, University of Stockholm
5:	Computer Model Calibration to Enable Disaggregation of Large Parameter Spaces, with Application to Mars Rover Data — David Craig Stenning, SAMSI/Duke University ; Working Group 1 ASTRO Program, SAMSI
6:	The Association Between Copy Number Aberration, DNA Methylation, and Gene Expression — Wei Sun, Fred Hutchinson Cancer Research Center
7:	Rerandomization: a Flexible Framework for Experimental Design — Kari Lock Morgan, Penn State University
8:	IMs for IVs: An Inferential Model Approach to Instrumental Variable Regression — Nicholas Aaron Syring, NCSU ; Ryan Martin, NCSU
9:	Detecting Differential Gene Expression by Single-Cell RNA Sequencing — Mingyao R Li, University of Pennsylvania ; Cheng Jia, University of Pennsylvania ; Nancy Ruonan Zhang, Wharton School , University of Pennsylvania
10:	Statistical Science and Policy at the EPA — Elizabeth Mannshardt, US Environmental Protection Agency
11:	Approximate Message Passing Algorithms for High-Dimensional Regression — Cynthia Rush, Columbia University
12:	Generalized Fiducial Inference for High-Dimensional Data — Jan Hannig, University of North Carolina at Chapel Hill ; Jonathan P Williams, University of North Carolina at Chapel Hill
13:	The Combination of Confirmatory and Contradictory Statistical Evidence at Low Resolution — Ruobin Gong, Harvard University ; Xiao-Li Meng, Harvard University
14:	Approximate Confidence Distribution Computing: An Effective Likelihood-Free Method with Statistical Guarantees — Suzanne Thornton, Rutgers University ; Minge Xie, Rutgers University
15:	R Package TDA for Statistical Inference on Topological Data Analysis — Jisu Kim, Carnegie Mellon University
16:	Teaching a Large, Project-Based Statistical Consulting Class — Emily Griffith, NC State University
17:	Transforming Undergraduate Statistics Education Through Experiential Learning: It's Essential! — Tracy Morris, University of Central Oklahoma ; Cynthia Murray, University of Central Oklahoma ; Tyler Cook, University of Central Oklahoma
18:	The Geometry of Synchronization Problems and Learning Group Actions — Tingran Gao, Duke University ; Jacek Brodzki, University of Southampton ; Sayan Mukherjee, Duke University
19:	Sufficient Markov Decision Processes with Alternating Deep Neural Networks — Longshaokan Wang, North Carolina State University ; Eric Laber, North Carolina State University ; Katie Witkiewitz, University of New Mexico
20:	Optimal Dynamic Treatment Regimes Using Decision Lists — Yichi Zhang, Harvard University ; Eric Laber, North Carolina State University ; Anastasios (Butch) Tsiatis, North Carolina State University ; Marie Davidian, North Carolina State University
21:	Predicting Phenotypes from Microarrays Using Amplified, Initially Marginal, Eigenvector Regression — Lei Ding, Indiana University ; Daniel J. McDonald, Indiana University
22:	Computer Vision Meets Television — Taylor Arnold, University of Richmond ; Lauren Tilton, University of Richmond
23:	Generalized Fiducial Inference for Nonparametric Function Estimation — Randy C.S. Lai, University of Maine
24:	A Phylogenetic Transform Enhances Analysis of Compositional Microbiota Data — Justin David Silverman, Duke University ; Sayan Mukherjee, Duke University ; Lawrence A David, Duke University
25:	Bayesian Multispecies Ecological Models for Paleoclimate Reconstruction Using Inverse Prediction — John Tipton, Colorado State University ; Mevin Hooten, Colorado State University
26:	Fast Maximum Likelihood Inference for Spatial Generalized Linear Mixed Models — Yawen Guan, Penn State University ; Murali Haran, Pennsylvania State University
27:	Fair Prediction with Disparate Impact: a Study of Bias in Recidivism Prediction Instruments — Alexandra Chouldechova, Carnegie Mellon University
28:	I Ran a Nonresponse Follow-Up Survey; Now What Do I Do? — Phillip Kott, RTI

104 * !	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-321
How Funding Agencies and Journals Are Encouraging Reproducible Research and the Role of Statisticians — Invited Panel
Committee on Funded Research , Scientific and Public Affairs Advisory Committee , Health Policy Statistics Section , Section on Statistics in Genomics and Genetics
Organizer(s): Ming-Wen An, Vassar College
Chair(s): Karen Bandeen-Roche, Johns Hopkins University
8:35 AM	How Funding Agencies and Journals Are Encouraging Reproducible Research and the Role of Statisticians
Panelists:	Jeremy Berg, Science magazine Meredith LeMasurier, Nature Research Michael Lauer, Extramural Research, NIH Richard Nakamura, Center for Scientific Review, NIH
10:10 AM	Floor Discussion

108 * !	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-337
Junior Research in Bayesian Modeling for High-Dimensional Data — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA) , Section on Statistics in Genomics and Genetics , Section on Statistical Learning and Data Science
Organizer(s): Valerie Poynor, California State University, Fullerton
Chair(s): James Johndrow, Stanford University
8:35 AM	Uncertainty Quantification for Network Regression — Frank W Marrs, Colorado State University ; Bailey Fosdick, Colorado State University ; Tyler McCormick, University of Washington
8:55 AM	Scalable Approximations of Marginal Posteriors in Variable Selection — Willem Van Den Boom, Duke University ; Galen Reeves, Duke University ; David Dunson, Duke University
9:15 AM	Bayesian Multi-Study Factor Analysis in High-Dimensional Biological Data — Roberta De Vito, Princeton
9:35 AM	Bayesian Multiscale Spatial Models for Big Data — Raj Guahniyogi, UCSC
9:55 AM	Cancer Phylogenies and Nonparametric Clustering — Jeffrey Miller, Harvard School of Public Health ; Scott Carter, Dana-Farber Cancer Institute
10:15 AM	Floor Discussion

109 * !	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-329
Learning from External Covariates in High-Dimensional Genomic Data Analysis — Topic Contributed Papers
Section on Statistics in Genomics and Genetics , Section on Statistical Learning and Data Science
Organizer(s): Simina Boca, Georgetown University Medical Center
Chair(s): Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
8:35 AM	A Regression Framework for the Proportion of True Null Hypotheses — Simina Boca, Georgetown University Medical Center ; Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
8:55 AM	Covariate-Powered Weighted Multiple Testing with False Discovery Rate Control — Huber Wolfgang, EMBL ; Nikos Ignatiadis, Stanford University
9:15 AM	Data-Driven Penalization for High-Dimensional Regression and Classification Using External Covariates — Britta Velten, EMBL Heidelberg ; Wolfgang Huber, EMBL Heidelberg
9:35 AM	Empirical Bayes Learning from Co-Data in High-Dimensional Prediction Settings — Mark Van De Wiel, VU University medical center
9:55 AM	Floor Discussion

119	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-323
SPEED: Bayesian Methods Student Awards — Contributed Speed
Section on Bayesian Statistical Science , Mental Health Statistics Section , International Society for Bayesian Analysis (ISBA) , Section on Statistics in Imaging , Section on Statistics in Genomics and Genetics
Chair(s): Valarie Jo Bell, Texas Woman's University
8:35 AM	Application of Multidimensional Time Model for PDF to Experimental and Statistical Investigations into Statistical Randomness and Normality of Pi Sqrt2 Etc — Michael Fundator, National Academy of Sciences
8:40 AM	Biomarker Detection and Categorization in RNA-Seq Meta-Analysis Using Bayesian Hierarchical Model — Tianzhou Ma, Department of Biostatistics, University of Pittsburgh ; Faming Liang, University of Florida ; George Tseng, University of Pittsburgh
8:45 AM	Support Points: a New Way to Compact Distributions, with an Application to Optimal MCMC Reduction — Simon Mak, Georgia Institute of Technology ; V. Roshan Joseph, Georgia Institute of Technology
8:50 AM	A Bayesian Approach to Dynamic Functional Connectivity in fMRI Data — Ryan Warnick, Rice University ; Marina Vannucci, Rice University ; Michele Guindani, University of California, Irvine ; Erik Erhardt, University of New Mexico ; Elena Allen, Medici Technologies ; Vince Calhoun, University of New Mexico
8:55 AM	Heterogeneous Reciprocal Graphical Models — Yang Ni ; Peter Mueller, UT Austin ; Yitan Zhu, NorthShore University HealthSystem ; Yuan Ji, NorthShore University HealthSystem/University of Chicago
9:00 AM	A Nonparametric Bayesian Approach to Copula Estimation — Shaoyang Ning ; Neil Shephard, Professor and Chair, Harvard Statistics Department
9:05 AM	A Geometric Variational Approach to Bayesian Inference — Abhijoy Saha, Department of Statistics, The Ohio State University ; Karthik Bharath, University of Nottingham ; Sebastian Kurtek, The Ohio State University
9:10 AM	Sensitivity Analysis and Emulation for Functional Data Using Bayesian Adaptive Splines — Devin Francom, Lawrence Livermore National Laboratory ; Bruno Sanso, University of California Santa Cruz ; Ana Kupresanin, Lawrence Livermore National Laboratory
9:15 AM	A Bayesian Mixture Model for Clustering and Selection of Feature Occurrence Rates Under Mean Constraints — Qiwei Li, Rice University ; Michele Guindani, University of California, Irvine ; Brian Reich, NCSU ; Howard Bondell, NC State University ; Marina Vannucci, Rice University
9:20 AM	Semiparametric Bayesian Regression for Multivariate Skewed Responses — Apurva Bhingare
9:30 AM	Finding Multiple Outcomes with Similar Linear Models — Tanzy Love, University of Rochester ; Amy LaLonde, University of Rochester
9:35 AM	Granger Mediation Analysis of Functional Magnetic Resonance Imaging Time Series — Yi Zhao, Brown University ; Xi Luo, Brown University
9:40 AM	Bayesian Methods for Discovering Structure in Neural Spike Trains — Scott Linderman
9:45 AM	On some distributional properties of hierarchical processes — Federico Camerlenghi, University of Bologna ; Antonio Lijoi, Bocconi University ; Igor Pruenster, Bocconi University
9:50 AM	Bayesian Predictive Synthesis for Probabilistic Forecast Calibration and Combination — Matt Johnson, Duke University ; Mike West, Duke University
9:55 AM	Bayesian Estimation and Uncertainty Quantification in Differential Equation Models — Prithwish Bhaumik, Quantifind Inc.
10:00 AM	Stagewise Generalized Estimating Equations with Applications to Suicide Prevention — Gregory Vaughan, Department of Statistics, University of Connecticut ; Robert Aseltine, Division of Behavioral Science and Community Health, UConn Health Center ; Kun Chen, Department of Statistics, University of Connecticut ; Jun Yan, University of Connecticut
10:05 AM	Failure of Conjugate Priors for MAP Estimation with Unknown Variance — Gemma Moran, Wharton Department of Statistics ; Veronika Rockova, University of Chicago ; Edward I. George, Wharton, University of Pennsylvania
10:10 AM	Bayesian Analysis of Time Series with Irregular or Latent Observation Times — Aaron Springford, Queen's University ; David Thomson, Queen's University
10:15 AM	Detecting Earthquake Epicenter Temporal Patterns via Dirichlet Process — Meredith Ray, University of Memphis ; Dale Bowman, University of Memphis ; Roy Von Arsdale, University of Memphis ; Hongmei Zhang, University of Memphis

120	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-325
SPEED: Variable Selection and Networks — Contributed Speed
Section on Statistical Learning and Data Science , Section on Statistics in Genomics and Genetics
Chair(s): Zhengwu Zhang, SAMSI
8:40 AM	A Robust Model-Free Feature Screening Method for Ultrahigh-Dimensional Data — Jingnan Xue, Texas A&M University ; Faming Liang, University of Florida
8:45 AM	Dynamic Latent Factor Modeling of UN Voting Networks — Bomin Kim, Pennsylvania State University ; Xiaoyue Niu, Penn State University ; David Hunter, The Pennsylvania State University ; Xun Cao, The Pennsylvania State University
8:50 AM	Variable Selection via Phony Variables — Wenhao Hu, North Carolina State University ; Eric Laber, North Carolina State University ; Leonard Stefanski, North Carolina State University
8:55 AM	Impact of Divergence of Training and Testing Sets on Predictive Risk and Measure of Model Complexity — Jieyi Jiang, Ohio State University ; Yoonkyung Lee, The Ohio State University ; Steven MacEachern, The Ohio State University
9:00 AM	Bayesian Adjustment for Confounding When Estimating Average Causal Effects for Time-To-Event Outcomes — Li Xu ; Arnold Stromberg, Department of Statistics, University of Kentucky ; Chi Wang, Cancer Biostatistics, University of Kentucky
9:05 AM	Efficient causal structure learning in high dimensions — Arjun Sondhi, University of Washington ; Ali Shojaie, University of Washington
9:10 AM	Assessing Variable Importance Nonparametrically Using Machine Learning Techniques — Brian Williamson, University of Washington ; Marco Carone, University of Washington Department of Biostatistics ; Noah Simon, University of Washington ; Peter Gilbert, Fred Hutchinson Cancer Research Center
9:15 AM	Varying-Coefficient Models for Dynamic Networks — Jihui Lee, Columbia University ; Gen Li, Columbia University ; James D. Wilson, University of San Francisco
9:20 AM	Parsimonious and Efficient Construction of Composite Likelihood Equations by L1-Penalization — Zhendong Huang
9:30 AM	Cross Validation for Penalized M-Estimation with a Case-Weight Adjusted Solution Path — Shanshan Tu, The Ohio State University ; Yunzhang Zhu, Ohio State University ; Yoonkyung Lee, The Ohio State University
9:35 AM	Finite Sample Estimation in General Vector Autoregressive Processes — Mohamad Kazem Shirani Faradonbeh, University of Michigan ; Ambuj Tewari, University of Michigan ; George Michailidis, University of Florida
9:40 AM	A Regularization Method for Detecting Differential Item Functioning Under the Framework of Generalized Linear Models — Jing Jiang, Boston College ; Zhushan Li, Boston College
9:45 AM	Collaborative Spectral Clustering in Attributed Networks — Xiaodong Jiang ; Pengsheng Ji, University of Georgia
9:50 AM	Structural Discovery in Temporal Networks — Shaojun Zhang, University of Florida ; George Michailidis, University of Florida
9:55 AM	Variable Selection for High-Dimensional Data via Generalized Penalty — Mingwei Sun, University of Alabama ; Pu Patrick Wang, University of Alabama
10:00 AM	Neighborhood Selection with Application to Social Networks — Nana Wang ; Wolfgang Polonik, University of California, Davis
10:05 AM	Detection of Treatment Effect After Variable Selection Under Model Misspecification — Jingshen Wang, University of Michigan ; Xuming He, University of Michigan
10:10 AM	Fostering Undergraduate Data Science — Mark Ward, Purdue University ; Fulya Gokalp Yavuz, Purdue University and Yildiz Technical University
10:15 AM	Model-Based Community Detection for Networks with Node Covariates — Boang Liu, University of Michigan ; Ji Zhu, University of Michigan

142 * !	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-337
Recent Statistical Advances in Single-Cell RNA-Seq Analysis — Invited Papers
Committee on Award of Outstanding Statistical Application , Section on Statistics in Genomics and Genetics , Section on Statistics in Epidemiology
Organizer(s): Jung-Ying Tzeng, North Carolina State University
Chair(s): Jung-Ying Tzeng, North Carolina State University
10:35 AM	SCnorm: a Quantile-Regression Based Approach for Robust Normalization of Single-Cell RNA-Seq Data — Christina Kendziorski, University of Wisconsin - Madison
11:00 AM	On the Widespread and Critical Impact of Systematic Bias and Batch Effects in Single-Cell RNA-Seq Data — Rafael Irizarry, Harvard School of Public Health
11:25 AM	Statistical Methods for Assessing Transcriptional Changes and Characterizing Heterogeneity in Single-Cell RNA-Seq Data — Raphael Gottardo, Fred Hutchinson Cancer Research Center
11:50 AM	Global Spectral Clustering in Dynamic Gene Expression Networks — Kathryn Roeder, Carnegie Mellon University ; Fuchen Liu, Carnegie Mellon University ; David Choi, Carnegie Mellon University
12:15 PM	Floor Discussion

143 * !	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-316
Advancing Translational Research Using Novel Statistical Analyses for Complex and Omics Data — Invited Papers
Section on Statistics in Genomics and Genetics , WNAR , Section on Statistical Computing
Organizer(s): Lynn Lin, Pennsylvania State University
Chair(s): Ethan Fang, Pennsylvania State University
10:35 AM	Composition Estimation from Sparse Count Data via a Regularized Likelihood — Hongzhe Li, University of Pennsylvania ; Yuanpei Cao, University of Pennsylvania ; Anru Zhang, University of Wisconsin-Madison
11:00 AM	West African Ebola, Zika in the Americas and Direct Likelihood-Based Inference for Stochastic Compartmental Models — Marc A. Suchard, University of California, Los Angeles
11:25 AM	ODE Reconstruction of High-Dimensional Genetic Networks Through Game Theory — Rongling Wu, Pennsylvania State University ; Libo Jiang, Beijing Forestry University
11:50 AM	Expression Recovery in Single Cell RNA Sequencing — Mo R Huang, University of Pennsylvania ; Mingyao R Li, University of Pennsylvania ; Nancy Ruonan Zhang, Wharton School , University of Pennsylvania
12:15 PM	Floor Discussion

145 * !	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-315
Statistical Methods in Data Integration and Data Harmonization — Invited Papers
ENAR , WNAR , IMS , Section on Statistics in Imaging , Section on Statistics in Genomics and Genetics
Organizer(s): Peter XK Song, University of Michigan,
Chair(s): Peter XK Song, University of Michigan,
10:35 AM	Generalized Meta-Analysis: Towards an Unified Paradigm for Model Building Through Integration of Disparate Data Sources — Nilanjan Chatterjee, Johns Hopkins University ; Runlong Tang, Johns Hopkins University ; Prosenjit Kundu, Johns Hopkins University
11:00 AM	Meta-Analysis with Extremely Small Number of Studies — Lu Tian, Stanford University ; Minge Xie, Rutgers University ; LJ Wei, Harvard University
11:25 AM	Integrating Imaging and Genetic Data for Understanding Neuropsychological Disorders — Heping Zhang, Yale University School of Public Health ; Canhong Wen, Sun Yat-Sen University ; Chintan Mehta, Yale University
11:50 AM	Discussant: Ryan Martin, NCSU
12:15 PM	Floor Discussion

153 * !	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-321
Recent Developments in Functional Data Analysis and Empirical Likelihood Methods in Biostatistics — Topic Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics
Organizer(s): Ao Yuan, Georgetown University
Chair(s): Ming T Tan, Georgetown University
10:35 AM	Empirical Likelihood Confidence Intervals for Mean Medical Cost — Gengsheng Qin, Georgia State University ; Jenny Jeyarajah, Georgia State University
10:55 AM	Influence of Biological Conditions to Temporal Gene Expressions Based on Variance Analysis — Dianliang Deng, University of Regina
11:15 AM	Functional Regression Estimation with Application to Sparsely Observed Data — Ao Yuan, Georgetown University ; Hongbin Fang, Georgetown University ; Ming T Tan, Georgetown University
11:35 AM	Gene-Based Association Testing of Dichotomous Traits with Generalized Functional Linear Mixed Models Using Extended Pedigrees — Ruzong Fan ; Yingda Jiang, University of Pittsburgh ; Chi-yang Chiu, NIH ; Momiao Xiong, University of Texas ; Christopher I Amos, Geisel School of Medicine at Dartmouth ; Daniel Weeks, University of Pittsburgh ; Richard John Cook, University of Waterloo ; M'Hamed Lajimi Lakhal-Chaieb, Université Laval ; Qi Yan, Division of Pulmonary Medicine, Allergy and Immunology, Children's Hospital of Pittsburgh ; Wei Chen, University of Pittsburgh ; Michael B. Gorin, UCLA ; Yvette P. Conley, University of Pittsburgh ; Alexander F. Wilson, NIH ; Joan Bailey-Wilson, NIH ; McMahon Francis, NIH
11:55 AM	Estimation and Hypothesis Test for Mean Curve with Functional Data by Reproducing Kernel Hilbert Space Methods — Hongbin Fang, Georgetown University ; Ming Xiong, Central China Normal University ; Ao Yuan, Georgetown University ; Ming T Tan, Georgetown University ; Colin O. Wu, Office of Biostatistics Research, National Heart, Lung and Blood Institute, NIH
12:15 PM	Floor Discussion

156 * !	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-350
Modern Statistical Methods for Biological Discovery — Topic Contributed Papers
International Indian Statistical Association , Section on Statistics in Genomics and Genetics
Organizer(s): Sunil Mathur, Augusta University
Chair(s): Sunil Mathur, Augusta University
10:35 AM	Sample Size Methods for Developing Predictors from Genomic Data — Kevin Dobbin, University of Georgia
10:55 AM	Comparing the Mixing Fractions in a Latent Mixture Model to Investigate Change in Mutational Processes During Cancer Growth and Development — Kimberly Siegmund, Univ of Southern California-School of Medicine ; Zhi Yang, University of Southern California ; Priyatama Pandey, University of Southern California ; Paul Marjoram, University of Southern California ; Darryl Shibata, University of Southern California
11:15 AM	Bayesian Inference in Stochastic Reaction Networks — Daniel Linder, Medical College of Georgia - Augusta, GA ; Grzegorz Rempala, Mathematical Biosciences Institute, Ohio State University
11:35 AM	An Integrative Analysis of DNA Methylation and Copy Number Data for Biological Discovery — Jie Chen, Augusta University ; Shirong Deng, Augusta University
11:55 AM	Discussant: Varghese George, Augusta University
12:15 PM	Floor Discussion

160	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-323
SPEED: Biometrics — Contributed Speed
Biometrics Section , Section on Statistics in Genomics and Genetics
Chair(s): Dootika Vats, University of Minnesota
10:35 AM	Relative Efficiency of Unequal Versus Equal Cluster Sizes in Cluster Randomized Trials Using Generalized Estimating Equation Models — Esther Lu, Washington University School of Medicine
10:40 AM	Selecting Classification Types for Time-Dependent Covariates to Improve the Marginal Analysis of Longitudinal Data — I-Chen Chen, University of Kentucky ; Philip M. Westgate, University of Kentucky
10:45 AM	Kernel-Based Bayesian Model for Genomic Selection — Xiaowei Hu, Oklahoma State University ; charles chen, oklahoma state university ; lan zhu, oklahoma state university
10:50 AM	Smoothing Splines Approach for Longitudinal Analysis of Functional Outcomes — Kush Kapur, Boston Children's Hospital, Harvard Medical School ; Rajesh Selukar, SAS Institute Inc ; Basil Darras, Boston Children's Hospital, Harvard Medical School ; Seward Rutkove, Beth Israel Deaconess Medical Center, Harvard Medical School
10:55 AM	Model Comparison for Hip Fracture Patients Hospital Readmission Prediction — Qingqing Dai, Oklahoma State University ; Zhuqi Miao, Oklahoma State University ; lan zhu, oklahoma state university ; Scott Shepherd, Oklahoma State University ; William Paiva, Oklahoma State University
11:00 AM	Combining Biomarkers for Risk Prediction Using Approximated Rank Correlation Statistic with Censored Survival Data — Eisuke Inoue, Medical Informatics, St. Marianna University School of Medicine
11:05 AM	High-Dimensional Mediation Analysis of the Effect of Varenicline on Alcohol Consumption in Mice — John J. Dziak, Penn State University ; Arielle Deutsch, Penn State University ; Runze Li, The Pennsylvania State University ; Helen M. Kamens, Penn State University
11:10 AM	Informative Group Testing for Multiplex Assays — Christopher Bilder, University of Nebraska-Lincoln ; Joshua Tebbs, University of South Carolina ; Christopher McMahan, Clemson University
11:15 AM	Impact of Covariate Measurement Error on Failure Time Analysis in the Presence of Competing Risks — Carrie Caswell, University of Pennsylvania ; Sharon X. Xie, University of Pennsylvania
11:20 AM	Comparison of Treatment Regime Estimation Methods Incorporating Variable Selection: Lessons from a Large Simulation Study — Adam Ciarleglio, Columbia ; Eva Petkova, New York University School of Medicine ; Thaddeus Tarpey, Wright State University ; Zhe Su, New York University School of Medicine ; R. Todd Ogden, Department of Biostatistics, Columbia University
11:30 AM	A Semiparametric Latent Trait Model for Multiple Mixed Continuous, Binary and Ordinal Outcomes — Sophie Yu-Pu Chen, University of Michigan ; Alex Tsodikov, University of Michigan
11:35 AM	Consistent Estimator for Logistic Random Effect Model — Yizheng Wei ; Yanyuan Ma, Penn State University ; Tanya P Garcia, Department of Epidemiology and Biostatistics Texas A&M Health Science Center ; Samiran Sinha, Department of Statistics, Texas A&M University
11:40 AM	Increasing Precision and Removing Conditional Bias by Appropriate Adjustment for Baseline Variables in Randomized Trials — Bingkai Wang, Johns Hopkins Bloomberg SPH ; Michael Rosenblum, Johns Hopkins University
11:50 AM	Weighted Bayesian Random-Effects Meta-Analysis Models — Uma Siangphoe, U.S. Food and Drug Administration
11:55 AM	Time-to-event analysis when the event of interest is defined on a finite time interval and is subject to a competing risk — Catherine Lee ; Sebastien Haneuse, TE-Harvard T.H. Chan School of Public Health
12:00 PM	A Procedure to Control for Population Stratification in Genome-Wide Association Studies with Rare Variants — Zhengyang Zhou, Southern Methodist University ; Chao Xing, University of Texas Southwestern Medical Center ; Hung-Chih Ku, DePaul University
12:05 PM	Evaluating Accuracy of Diagnostic Tests with Empirical Methods — Di Lu, Georgetown University ; Ao Yuan, Georgetown University
12:10 PM	Association Test for Ordinal Categorical Outcome — Miao Zhang, University of Arizona ; Jin Zhou, University of Arizona ; Joseph Watkins, University of Arizona
12:15 PM	Floor Discussion

221 * !	Mon, 7/31/2017, 2:00 PM - 3:50 PM	CC-319
Advanced Statistical Methods for Microbiome Data Analysis — Topic Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics
Organizer(s): Hyunwook Koh, NYU School of Medicine
Chair(s): Huilin Li, New York University
2:05 PM	Metabolite Prediction in the Human Microbiome — Himel Mallick, Harvard University ; Eric A. Franzosa, Harvard University ; Lauren J. Mclver, Harvard University ; Soumya Banerjee, University of Oxford ; Alexandra Sirota-Madi, Evelo Biosciences ; Aleksandar D. Kostic, Harvard University ; Clary B. Clish, Broad Institute ; Hera Vlamakis, Broad Institute ; Ramnik Xavier, Massachusetts General Hospital ; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
2:25 PM	A Robust and Powerful Microbiome-Based Association Test for Survival Traits — Hyunwook Koh, NYU School of Medicine ; Huilin Li, New York University
2:45 PM	A Bayesian Method for Detecting Pairwise Associations in Compositional Data — Emma Schwager, Harvard School of Public Health ; Steffen Ventz, University of Rhode Island ; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
3:05 PM	Compositional Mediation Model for Microbiome Study — Michael Sohn ; Hongzhe Li, University of Pennsylvania
3:25 PM	Microbiome Data Classification Under Sampling Zeros — Zachary Kurtz ; Christian Müller, Flat Iron Institute, Simons Foundation ; Richard Bonneau, Flat Iron Institute, Simons Foundation
3:45 PM	Floor Discussion

223 * !	Mon, 7/31/2017, 2:00 PM - 3:50 PM	CC-315
Clinical Trials: Recent Statistical Advances for Enabling Personalized Medicine — Topic Contributed Papers
Biopharmaceutical Section , Section on Statistics in Genomics and Genetics , Section on Medical Devices and Diagnostics
Organizer(s): Devan Mehrotra, Merck & Co. Inc.
Chair(s): Donna L Kowalski, Astellas Pharma, US
2:05 PM	Methods of Biomarker and Subgroup Identification for Personalized Medicine — Ilya Lipkovich, QuintilesIMS ; Bohdana Ratitch , QuintilesIMS ; Alex Dmitrienko, Mediana Inc
2:25 PM	Measuring Differential Treatment Benefit Across Marker Specific Subgroups: The Choice of Outcome Scale — Alexia Iasonos, Memorial Sloan Kettering Sloan Cancer Center ; Jaya Satagopan, Memorial Sloan Kettering Cancer Center
2:45 PM	A Powerful Learn-And-Confirm Pharmacogenomics Methodology for Randomized Clinical Trials — Devan Mehrotra, Merck & Co. Inc. ; Qian Guan, North Carolina State University ; Zifang Guo, Merck & Co., Inc.
3:05 PM	Efficient Approaches to Identifying Markers That Predict Treatment Effects in Randomized Clinical Trials — James Dai, Fred Hutchinson Cancer Research Center ; Michael LeBlanc, Fred Hutchinson Cancer Research Center
3:25 PM	Clinical Trial Designs of Predictive Markers — Meijuan Li, CDRH/FDA
3:45 PM	Floor Discussion

237	Mon, 7/31/2017, 2:00 PM - 3:50 PM	CC-313
Feature Selection and Statistical Learning in Genomics — Contributed Papers
Section on Statistics in Genomics and Genetics , Section on Statistical Learning and Data Science
Chair(s): Arjun Sondhi, University of Washington
2:05 PM	FUNctioNal ELastic-Net (FUNNEL) Pipeline for Gene Set Enrichment Analysis with Overlapping — Yun Zhang, University of Rochester ; Juilee Thakar, University of Rochester ; Xing Qiu, University of Rochester
2:20 PM	Group Variable Selection with Compositional Covariates — Anna Plantinga, University of Washington ; Michael C. Wu, Fred Hutchinson Cancer Research Center
2:35 PM	Cancer Staging in Meta-Analysis by Group Fused Lasso — Wenshuo Liu, University of Wisconsin Madison ; Tianjie Wang, University of Wisconsin Madison ; Menggang Yu, university of wisconsin-madison
2:50 PM	Strong Sure Screening of Ultra-High-Dimensional Categorical Data Exhibiting Trend — Randall Reese, Utah State University ; Guifang Fu, Utah State University ; Xiaotian Dai, Utah State University
3:05 PM	Robust Network-Based Regularization and Variable Selection for High-Dimensional Genomic Data in Cancer Prognosis — Jie Ren, Department of Statistics, Kansas State University ; Yinhao Du, Department of Statistics, Kansas State University ; Dewey Molenda, Department of Statistics, Kansas State University ; Yu Jiang, School of Public Health, University of Memphis ; Wu Cen, Department of Statistics, Kansas State University
3:20 PM	Graph Constrained Regularization for Nonparametric Instrumental Variable Regression in Genetical Genomic Analysis — Bin Gao, Janssen Research & Development, LLC ; Yuehua Cui, Michigan State University
3:35 PM	Floor Discussion

214736	Mon, 7/31/2017, 5:30 PM - 7:00 PM	CC-306
Section on Statistics in Genomics and Genetics Business Meeting — Other Cmte/Business
Section on Statistics in Genomics and Genetics
Chair(s): Hongzhe Li, University of Pennsylvania

294	Tue, 8/1/2017, 8:30 AM - 10:20 AM	CC-330
High-Dimensional Regression — Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics , Section on Statistical Learning and Data Science
Chair(s): Roberta De Vito, Princeton
8:35 AM	High-Dimensional Discriminant Analysis Using Singular Wishart Distribution — Samprit Banerjee, Weill Medicine College of Cornell University ; Stefano Monni, American University of Beirut, Lebanon
8:50 AM	High-Dimensional Mediation Analysis with Latent Factors — Andriy Derkach, NIH-National Cancer Institute ; Ting-Huei Chen, Université Laval ; Joshua Sampson, National Cancer Institute ; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
9:05 AM	A focused mean squared error approach for selecting tuning parameters in penalized regression — Kristoffer Hellton, University of Oslo ; Nils Lid Hjort, University of Oslo
9:20 AM	An Application of High-Dimensional Multiclass Classification Methods to Listeria Monocytogenes Whole Genome Multilocus Sequence Typing Data — Sunkyung Kim, Centers for Disease Control and Prevention ; Gordana Derado, Centers for Disease Control and Prevention ; Anna J Blackstock, Centers for Disease Control and Prevention ; Conrad Amanda, Centers for Disease Control and Prevention ; Heather Carleton, Centers for Disease Control and Prevention
9:35 AM	Honest inference for marginal treatment effects using penalised bias-reduced double-robust estimation — Vahe Avagyan, Universiteit Gent-Vakgroep Toegepaste W & I ; Stijn Vansteelandt, Ghent University
9:50 AM	Dynamic Predictions in Bayesian Functional Joint Models for Longitudinal and Time-To-Event Data: An Application to Alzheimer's Disease — Kan Li, The University of Texas Health Science Center at Houston ; Sheng Luo, The University of Texas Health Science Center at Houston
10:05 AM	Multinomial Goodness-of-Fit Statistics When the Number of Variables Is Large — Maduranga Dassanayake, Arizona State University ; Mark Reiser, Arizona State University

300	Tue, 8/1/2017, 8:30 AM - 10:20 AM	CC-337
Gene-Gene and Gene-Environment Interactions — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Zachary McCaw, Harvard School of Public Health
8:35 AM	Multifactor Dimensionality Reduction with Multiple Risk Scores Per Person — Ye Li, University of Kentucky ; Richard Charnigo, University of Kentucky
8:50 AM	A Powerful and Data-Adaptive Test for Rare Variant-Based GxE Analysis — Tianzhong Yang, University of Texas Health Science Center at Houston ; Han Chen, University of Texas Health Science Center at Houston ; Donghui Li, The University of Texas MD Anderson Cancer Center ; Peng Wei, The University of Texas MD Anderson Cancer Center
9:05 AM	SERIAL TESTING for DETECTION of MULTILOCUS GENETIC INTERACTIONS — Zaid Al-Khaledi, University of Kentucky ; Richard Charnigo, University of Kentucky
9:20 AM	Sparse Penalization for Non-Hierarchical Interactions — Claus Ekstrom, Biostatistics, University of Copenhagen
9:35 AM	A Distributed Analysis Method for Detecting Genetic Interactions for Complex Diseases in Large Research Consortia — Yulun Liu, University of Pennsylvania ; Jing Huang, University of Pennsylvania ; Elisabetta Manduchi, University of Pennsylvania ; Paul Scheet, The University of Texas MD Anderson Cancer Center ; Jason Moore, University of Pennsylvania ; Yong Chen, University of Pennsylvania
9:50 AM	Subset-Based Meta-Analysis That Exploits Gene-Environment Interactions for Genetic Association Discovery — Lu Xia, University of Michigan ; Youfei Yu, University of Michigan ; Seunggeun Lee, University of Michigan ; Xiang Zhou, University of Michigan ; Bhramar Mukherjee, Department of Biostatistics, University of Michigan, Ann Arbor
10:05 AM	Quick and Easy Analysis of Quantitative Traits for Genome-Wide Association and Interaction Studies — Shin-Fu Tsai, National Taiwan University

317	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-310
Integration Approaches and Methods for Deciphering Genotype-Phenotype Mapping Toward Precision Medicine — Invited Papers
Section on Statistics in Genomics and Genetics , Biometrics Section , International Chinese Statistical Association
Organizer(s): Chuanhua Julia Xing, XPrecision
Chair(s): Xuefeng Wang, Stony Brook
10:35 AM	4. Bayesian Integrative Model for Deciphering High-Dimensional Genotype-Phenotype Map — Chuanhua Julia Xing, XPrecision ; Andrew Raim, U.S. Census Bureau
10:55 AM	Dissecting Genetic Architecture of Complex Diseases Through Integrated Genomic Analysis — Hongyu Zhao, Yale University
11:15 AM	Confidence Intervals for Heritability via Haseman-Elston Regression — Tamar Sofer, University of Washington, Department of Biostatistics
11:35 AM	Polygenic Risk Modeling Techniques to Incorporate LD, Functional Annotations of SNPs And/Or Multiple Phenotypic Information Using Genome-Wide Association Study Summary-Level Data — Ting-Huei Chen, Université Laval ; Nilanjan Chatterjee, Johns Hopkins University ; Jianxin Shi, National Cancer Institute
11:55 AM	Robust Genetic Prediction of Complex Traits with the Latent Dirichlet Process Regression Models — Xiang Zhou, University of Michigan ; Ping Zeng, University of Michigan
12:15 PM	Floor Discussion

323 * !	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-303
Recent Methods and Tools in Analyzing Human Microbiome Data — Topic Contributed Papers
Section on Statistics in Genomics and Genetics
Organizer(s): Ni Zhao, Johns Hopkins University
Chair(s): Ni Zhao, Johns Hopkins University
10:35 AM	Adjusting for Overdispersion in Microbiome Data Analysis — Ekaterina Smirnova, University of Montana ; Glen Satten, Centers for Disease Control and Prevention
10:55 AM	Metagenomic Meta-Analysis of Large Data Sets: Tools and Biological Insights — Edoardo Pasolli, University of Trento, CIBIO
11:15 AM	Higher Resolution Metagenomics Methods and Their Implication for (Improved) Microbiome Analysis — Paul McMurdie, Whole Biome, Inc.
11:35 AM	Differential Abundance Analysis on Longitudinal Metagenomic Sequencing Data — Lingling An, University of Arizona ; Dan Luo, University of Arizona
11:55 AM	Testing Hypotheses About the Microbiome Using a New Ordination-Based Linear Model — Glen Satten, Centers for Disease Control and Prevention ; Yijuan Hu, Emory University
12:15 PM	Floor Discussion

324 * !	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-311
Applications of Functional Data Analysis to Medical Studies — Topic Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics
Organizer(s): Andrada E. Ivanescu, Montclair State University, Department of Mathematical Sciences
Chair(s): Andrada E. Ivanescu, Montclair State University, Department of Mathematical Sciences
10:35 AM	New Insights into Activity Patterns in Children, Found Using Functional Data Analyzes — Jeff Goldsmith, Columbia University ; Xinyue Liu, Analysis Group ; Judith Jacobson, Columbia University ; Andrew Rundle, Columbia University
10:55 AM	Nonparametric Variable Screening and Preselection for Functional Data with Application to Time Course Gene Expression Profiles — Jan Gertheiss, Clausthal University of Technology
11:15 AM	High-Dimensional Function-On-Scalar Regression with Application to Genetic Association Studies — Matthew Reimherr, Penn State ; Alice Parodi, Politecnico di Milano
11:35 AM	Cerebrospinal Fluid Biomarker Signature in Alzheimer's Disease Genetic Association Landscape by Functional Linear Models. — Olga Vsevolozhskaya ; Ilai Keren, Washington Department of Fish and Wildlife ; David Fardo, University of Kentucky ; Dmitri Zaykin, NIH/NIEHS
11:55 AM	Brain Dynamic Functional Connectivity: Modularity Assessment in a Task-Based Gustatory Study — Maria Kudela ; Mario Dzemidzic, Department of Neurology Indiana University School of Medicine ; Joaquin Goni, Purdue University ; Brandon G Oberlin, Department of Neurology Indiana University School of Medicine ; David Kareken, Department of Neurology Indiana University School of Medicine ; Jaroslaw Harezlak, Indiana University School of Public Health
12:15 PM	Floor Discussion

336	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-316
Next- Generation Sequencing — Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics
Chair(s): Katerina Kechris, University of Colorado Anschutz Medical Campus
10:35 AM	A Permutation-Based Non-Parametric Analysis of CRISPR Screen Data — Gaoxiang Jia, Southern Methodist University & UT Southwestern Medical Center ; Xinlei Wang, Southern Methodist University ; Guanghua Xiao, UT Southwestern Medical Center
10:50 AM	BayesMP: a Bayesian Approach for Transcriptomic Meta-Analysis and Gene Module Detection — Chi Song ; Zhiguang Huo, University of Pittsburgh ; George Tseng, University of Pittsburgh
11:05 AM	Detecting Copy Number Variations via a Bayesian Approach Adapting to Both Whole Genome and Targeted Exome Sequencing — Yu-Chung Wei, Department of Statistics, Feng Chia University ; Guan-Hua Huang, Institute of Statistics, National Chiao Tung University
11:20 AM	Gene Expression Variability and the Analysis of Large-Scale RNA-Seq Studies with the MDSeq — Z. John Daye, None ; Di Ran, University of Arizona
11:35 AM	Assessment of RNA-Seq Differential Expression Methods Based on TCGA Data — Guy Brock, Center for Biostatistics, The Ohio State University College of Medicine ; Meredith McCormack-Mager, Center for Biostatistics, The Ohio State University College of Medicine ; Yu Lianbo, Center for Biostatistics, The Ohio State University College of Medicine ; Soledad Fernandez , Center for Biostatistics, The Ohio State University College of Medicine
11:50 AM	Bayesian Analysis for Multi-Subject Time Course RNA-Seq Experiments — Allison Tegge, Virginia Tech ; Shiqi Cui, Google ; Marco Ferreira, Virginia Tech
12:05 PM	Cluster-Enabled Inference for Subgroup Comparison of Copy Number Profiles Using Bayesian Change-Point Models for Profile Characterization — Miranda Lynch, Los Alamos National Laboratory

378 !	Tue, 8/1/2017, 2:00 PM - 3:50 PM	CC-309
Statistics in Biosciences Special Invited Papers: Genomics, Metagenomics, and Imaging — Invited Papers
International Chinese Statistical Association , Section on Statistics in Imaging , Section on Statistics in Genomics and Genetics
Organizer(s): Hongzhe Li, University of Pennsylvania
Chair(s): Hongzhe Li, University of Pennsylvania
2:05 PM	Some Thoughts on Clustering and Its Applications — Wing Hung Wong, Stanford University
2:30 PM	Models for Microbial Community Population Structure — Curtis Huttenhower, Harvard T.H. Chan School of Public Health ; Emma Schwager, Harvard School of Public Health ; Boyu Ren, Harvard T.H. Chan School of Public Health ; Eric A Franzosa, Harvard T.H. Chan School of Public Health
2:55 PM	Integrative Association Analysis of Multiple Genomics Platforms — Danyu Lin, University of North Carolina
3:20 PM	Bayesian Quantile Functional Regression for Biomedical Imaging Data — Jeffrey S. Morris, The University of Texas M.D. Anderson Cancer Center
3:45 PM	Floor Discussion

390 *	Tue, 8/1/2017, 2:00 PM - 3:50 PM	CC-339
Challenges in Whole-Genome Sequence Analysis: Experiences and Approaches in the TOPMed Project — Invited Papers
WNAR , Section on Statistics in Genomics and Genetics , ENAR
Organizer(s): Yun Li, University of North Carolina
Chair(s): Adam A. Szpiro, University of Washington
2:05 PM	FastSKAT: Sequence Kernel Association Tests for Very Large Sets of Markers in Large-Scale Sequencing Data — Kenneth Rice, University of Washington
2:30 PM	Computationally Efficient Rare Variant Association Testing in Multi-Ethnic Cohorts with Large-Scale Sequencing Data — Timothy Thornton, University of Washington
2:55 PM	Transcriptome-Wide Association Study of Blood Cell Traits in TOPMed — Yun Li, University of North Carolina
3:20 PM	Integrating Multi-Omics Data to Identify Target Genes for Complex Traits Through a Gibbs Sampling Strategy — Bingshan Li, Vanderbilt University ; Quan Wang, Vanderbilt University ; Ying Ji, Vanderbilt University ; Rui Chen, Vanderbilt University ; Qiang Wei, Vanderbilt University ; Xue Zhong, Vanderbilt University ; Hai Yang, Vanderbilt University
3:45 PM	Floor Discussion

403	Tue, 8/1/2017, 2:00 PM - 3:50 PM	CC-325
Selected Topics on Hypothesis Testing and Statistical Inference — Contributed Papers
IMS , Section on Statistics in Genomics and Genetics , Section on Statistical Learning and Data Science
Chair(s): Quefeng Li, The University of North Carolina at Chapel Hill
2:05 PM	A Neighborhood Hypothesis Test for Functional Data with an Application to Ecological Data — Leif Ellingson, Texas Tech University ; Dhanamalee Bandara, Texas Tech University ; Souparno Ghosh, Texas Tech University
2:20 PM	Testing for Model Adequacy in Censored Location-Scale Families — Sundarraman Subramanian, New Jersey Institute of Technology
2:35 PM	Nonparametric Inference via Bootstrapping the Debiased Estimator — Yen-Chi Chen, University of Washington
2:50 PM	A Higher Order Criticism of Higher Criticism — Thomas Porter, The University of Sydney ; Michael Stewart, The University of Sydney
3:05 PM	A Doubly Adaptive Inferential Method for Monotone Graph Invariants — Junwei Lu, Princeton University ; Matey Neykov, Princeton University ; Han Liu, Princeton University
3:20 PM	Hypothesis Testing for Simultaneous Variable Clustering and Correlation Network Estimation, with Application to Gene Co-Expression Networks — Kevin Lin, Carnegie Mellon University, Statistics Department ; Junwei Lu, Princeton University ; Han Liu, Princeton University ; Kathryn Roeder, Carnegie Mellon University
3:35 PM	Using Phylogenetic Models for Quantitative Trait Mapping with Multiple Loci — Katherine Thompson, University of Kentucky ; Catherine Linnen, University of Kentucky

408	Tue, 8/1/2017, 2:00 PM - 3:50 PM	CC-348
Methods for Single-Cell Genomic Analysis — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Ryan Sun, Harvard University
2:20 PM	Missing Data and Technical Variability in Single-Cell RNA-Sequencing Experiments — Stephanie Hicks, Dana-Farber Cancer Institute/Harvard T.H. Chan School of Public Health ; Mingxiang Teng, Dana-Farber Cancer Institute/Harvard T.H. Chan School of Public Health ; F. William Townes, Harvard T.H. Chan School of Public Health ; Rafael Irizarry, Harvard School of Public Health
2:35 PM	Number of Cells to Identify a Novel Subpopulation from a Single Cell RNA Sequencing — Kyung In Kim, Jackson Laboratory
2:50 PM	Iteratively Adjusted Surrogate Variable Analysis (IA-SVA) Uncovers Hidden Heterogeneity in Bulk and Single Cell Transcriptomic Data — Donghyung Lee
3:05 PM	Next Generation Analysis Tools for Single-Cell Functional Genomic Data — Weiqiang Zhou, Johns Hopkins University Bloomberg School of Public Health ; Zhicheng Ji, Johns Hopkins University Bloomberg School of Public Health ; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
3:20 PM	Statistical Analysis of Single-Cell Chromatin Accessibility Data (ScATAC-Seq) — Peter Hickey, Johns Hopkins University ; Kasper Hansen, Johns Hopkins Biostatistics
3:35 PM	A Dirichlet Mixture Model for Clustering Droplet-Based Single Cell Transcriptomic Data — Wei Chen, University of Pittsburgh ; Zhe Sun, University of Pittsburgh ; Ke Deng, Tsinghua University ; Ming Hu, Cleveland Clinic

418	Tue, 8/1/2017, 2:00 PM - 3:50 PM	CC-Halls A&B
Contributed Poster Presentations: Section on Statistics in Genomics and Genetics — Contributed Poster Presentations
Section on Statistics in Genomics and Genetics
Chair(s): Jessi Cisewski, Yale University
18:	Inferring Intra-Tumor Heterogeneity by Jointly Modeling Copy Number Aberrations and Somatic Point Mutations — Chong Jin ; Wei Sun, Fred Hutchinson Cancer Research Center ; Mengjie Chen, Department of Medicine, University of Chicago
19:	PAIRADISE: Paired Analysis of Differential Isoform Expression from Replicate RNA-Seq Data — Levon Demirdjian, University of California Los Angeles ; Shihao Shen, University of California Los Angeles ; Ying Nian Wu, University of California Los Angeles ; Yi Xing, University of California Los Angeles
20:	Pharmacogenetic Pooled vs. Meta-Analyses in the Presence of Between-Study Heterogeneity — Julie Kobie, Merck Research Laboratories ; Jialin Xu, Merck Research Laboratories
21:	Robust Estimation of Genetic and Environmental Variance Components in Twin Studies using Generalized Method of Moments — Jaron Arbet ; Saonli Basu, University of Minnesota
22:	An Empirical Bayes Approach for Differential Expression Analysis of RNA-Seq Data — Anqi Zhu ; Michael Love, University of North Carolina Chapel Hill ; Joseph G Ibrahim, UNC
23:	Testing HWE on Controls: Is it Justifiable? — Virginia Ma, Columbus Academy
24:	A Bayesian Model for Integrating High-Throughput Multi-Omics Data with Missingness Handling — Zhou Fang, Department of Biostatistics, University of Pittsburgh ; Tianzhou Ma, Department of Biostatistics, University of Pittsburgh ; Li Zhu, University of Pittsburgh ; George Tseng, University of Pittsburgh ; Qi Yan, Division of Pulmonary Medicine, Allergy and Immunology, Children's Hospital of Pittsburgh ; Wei Chen, University of Pittsburgh
25:	Bivariate Copula Modeling of Genetic Effects on AMD Progression with Intermittent Assessment Times — Tao Sun, University of Pittsburgh ; Yi Liu ; Wei Chen, University of Pittsburgh ; Ying Ding, University of Pittsburgh
26:	Examination of Methods for Gene Expression Normalization in EQTL Studies — Sean McCabe, University of North Carolina at Chapel Hill ; Danyu Lin, University of North Carolina ; Michael Love, University of North Carolina Chapel Hill
28:	A Robust Estimator for Poisson Mean with Zero-Inflation and Contamination — Xiaotian Wu, Brown University ; Yi Zhang, Brown University ; Zhijin Wu, Brown University
29:	Rates of DNA Mutation in Genes and Inte-Gene Regions — Brian French, Purdue University ; Laszlo Csonka, Purdue University ; Mark Ward, Purdue University ; Nicole Markley, Purdue University
30:	GPU-Based Approximate Bayesian Computation Algorithms for Network Reverse-Engineering — Myriam Maumy, Universite de Strasbourg ; Frederic Bertrand, University of Strasbourg
31:	Diffusion Dependent Methylation Mechanics — Alan Min, Purdue University ; Doraiswami Ramkrishna, Purdue University ; Chongli Yuan, Purdue University
32:	Size Investing Strategy on Multiple Confidence Intervals Under FWER — Taeho Kim ; Edsel Aldea Pena, University of South Carolina
33:	Slingshot: Cell Lineage and Pseudotime Inference for Single-Cell Transcriptomics — Kelly Street, Univ of California - Berkeley ; David Risso, Department of Healthcare Policy and Research, Weill Cornell Medicine ; Russell B. Fletcher, Department of Molecular and Cell Biology, UC Berkeley ; Diya Das, Department of Molecular and Cell Biology, UC Berkeley ; John Ngai, Department of Molecular and Cell Biology & Helen Wills Nenuroscience Institute, UC Berkeley ; Nir Yosef, Department of Electrical Engineering and Computer Sciences, UC Berkeley ; Elizabeth Purdom, Department of Statistics, UC Berkeley; Center for Computational Biology, UC Berkeley ; Sandrine Dudoit, Division of Biostatistics, School of Public Health, UC Berkeley; Department of Statistics
34:	Using imputed genotype data in the joint score tests for genetic association and gene-environment interactions in case-control studies — Minsun Song, Department of Statistiscs, Sookmyung Women's University
35:	Phylogenetic Analysis of RYR1 Variants in E. caballus — Jamed Ferreris, Shepherd University ; Tyler T. Garrett, Shepherd University ; Sher L. Hendrickson, Shepherd University
36:	Bayesian Mixture Model for Ovarian Cancer Study Using Glycoproteomics and Mass Spectrometry Data — Yulan Liang, University of Maryland ; Arpad Kelemen, University of Maryland

441 * !	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-317
The Key to Integrative Analysis for Precision Medicine: Statistics! — Invited Papers
Section on Statistics in Genomics and Genetics , ENAR , Section on Statistics in Epidemiology , Caucus for Women in Statistics
Organizer(s): Josee Dupuis, Boston University School of Public Health, Ching-Ti Liu, Boston University School of Public Health
Chair(s): Ching-Ti Liu, Boston University School of Public Health
8:35 AM	Bayesian Variable Selection for Multi-Layer Overlapping Group Structure with Applications to Multi-Level Omics Data Integration — George Tseng, University of Pittsburgh ; Li Zhu, University of Pittsburgh
9:00 AM	Clustering Patients Across Multiple Data Views — Lucy Gao, University of Washington ; Jacob Bien, Cornell University ; Daniela Witten, University of Washington
9:25 AM	An Integrative Statistical Framework for Multi-Modal Omics Data — George Michailidis, University of Florida
9:50 AM	Accounting for Genetics in Biomarker-Disease Association Studies: Lessons Learned from Lung Disease — Katerina Kechris, University of Colorado Anschutz Medical Campus ; Wei Sun, Fred Hutchinson Cancer Research Center ; Sean Jacobson, National Jewish Health ; Wanda O'Neal, University of North Carolina at Chapel Hill ; Russell Bowler, National Jewish Health
10:15 AM	Floor Discussion

445 * !	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-309
Quantification, Association Testing, and Integration of Micriobiome — Invited Papers
WNAR , ENAR , Biometrics Section , Section on Statistics in Genomics and Genetics
Organizer(s): Yijuan Hu, Emory University
Chair(s): Brian Williamson, University of Washington
8:35 AM	Better Measurement of the Microbiome by Modeling and Removing Amplified Sequencing Errors — Benjamin John Callahan, North Carolina State University
9:00 AM	Joint Modeling and Analysis of Microbiome with Other Omics Data — Michael C. Wu, Fred Hutchinson Cancer Research Center
9:25 AM	Tackling the Excessive Zeros and Phylogenetic Constraint for Microbiome Data — Jun Chen, Mayo Clinic
9:50 AM	Human Microbiome-Based Association Test and a Microbial Taxa Discovery Framework — Huilin Li, New York University
10:15 AM	Floor Discussion

451 * !	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-303
Current Trends in Statistical Genomics: Finding Needle in a Haystack? — Topic Contributed Papers
ENAR , Biopharmaceutical Section , International Indian Statistical Association , Section on Statistics in Genomics and Genetics
Organizer(s): Somnath Datta, University of Florida
Chair(s): Hyoyoung Choo-Wosoba, NCI, NIH
8:35 AM	Marginal False Discovery Rates for Penalized Regression Models — Patrick Breheny, University of Iowa
8:55 AM	Advances and Challenges of Single Cell RNA-Seq Data Analysis — Susmita Datta, University of Florida
9:15 AM	Statistical Challenges in Analysis of Complex Phenotypes Derived from Sequential Images — Dan Nettleton, Iowa State University ; Patrick Schnable, Iowa State University ; Yehua Li, Iowa State University ; Li Wang, Iowa State University ; Baskar Ganapathysubramanian, Iowa State University
9:35 AM	ANOVA-Based Clustering to Improve Potency Estimation in Quantitative High-Throughput Screening Data — Shyamal Peddada, NIH/NIEHS ; Keith Shockley, NIEHS ; Abhishek Kaul, NIEHS ; Shuva Gupta, UC Davis ; Shawn Harris, SSS ; Soumendra N Lahiri, North Carolina State University
9:55 AM	Association Analysis Using Sequence Reads Without Calling Genotypes — Yijuan Hu, Emory University ; Peizhou Liao, Department of Biostatistics and Bioinformatics, Emory ; Henry Johnston, Department of Biostatistics and Bioinformatics, Emory ; Andrew Allen, Department of Biostatistics and Bioinformatics, Duke ; Glen Satten, Centers for Disease Control and Prevention
10:15 AM	Floor Discussion

455 *	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-311
Oncoimmunology Gene Networks: Parallel Data Studies of Multi-Tissue Network Analysis — Topic Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics
Organizer(s): Kevin H Eng, Roswell Park Cancer Institute
Chair(s): John Dawson, Texas Tech University
8:35 AM	Regulation of Cancer Testis Antigen Rich Whole Transcriptome Profiling of Ovarian Tumors — Kevin H Eng, Roswell Park Cancer Institute ; Wenjun He, Roswell Park Cancer Institute ; Kayla Morrell, Roswell Park Cancer Institute ; Anthony Milliotto, Roswell Park Cancer Institute ; Kunle Odunsi, Roswell Park Cancer Institute
8:55 AM	IDENTIFICATION of DYSREGULATED METABOLIC PATHWAYS and the MASTER REGULATORS of THESE PATHWAYS — Spencer Rosario, Roswell Park Cancer Institute
9:15 AM	Attribute-Based Module Detection for the Elucidation of Tissue-Specific Pathways for Oncoimmunology — Han Yu, State University of New York at Buffalo ; Rachael Hageman Blair, State University of New York at Buffalo
9:35 AM	It's All About the Residuals: Estimating Gene Networks by Leveraging Residual Structure in Multi-Tissue Transcriptomic Data — Matthew McCall, University of Rochester Medical Center
9:55 AM	Discussant: Rachael Hageman Blair, State University of New York at Buffalo
10:15 AM	Floor Discussion

463	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-326
SPEED: Statistics in Epidemiology and Genomics and Genetics — Contributed Speed
Section on Statistics in Epidemiology , Section on Statistics in Genomics and Genetics
Chair(s): Ruobin Gong, Harvard University
8:35 AM	Zero-Inflated Model: Is it Sufficient for Estimating Excess Zeros? — Charles Rose, CDC
8:45 AM	STATISTICAL METHODS for DEVELOPING IMPROVED ESTIMATES of HIV PREVENTION MEASURES USING SURVEILLANCE DATA — Sahar Zangeneh, Fred Hutchinson Cancer Research Center ; Deborah Donnell, Fred Hutchinson Cancer Research Center ; Ying Chen, Fred Hutchinson Cancer Research Center
8:50 AM	Effect of Start Time of Baby Food on Childhood Allergy with Repeatedly Measured Confounder and Intermediator Using Joint and Marginal Model — Ayano Takeuchi, Keio University ; Masami Narita, National Center for Child Health and Development ; Kiwako Yamamoto, National Center for Child Health and Development ; Yukihiro Ohya, National Center for Child Health and Development
8:55 AM	Estimating Causal Effects from Using Augmented Inverse Probability Weighted Estimators When Noncompliance Is Measured with Error — David Vock, University of Minnesota ; Jeffrey Boatman ; Joseph Koopmeiners, University of Minnesota
9:00 AM	Efficient Statistical Methods for Association Studies with Dense Genotypes and Family History of Disease — Annie Lee, Columbia University ; Yuanjia Wang , Columbia University
9:05 AM	Method Selection and Assumption Evaluation: Applications to Gene Expression Data — Demba Fofana
9:10 AM	Subgroup Analysis of Censored Survival Data on Cancer Treatment — Qing Zhang, Stony Brook University ; Hongshik Ahn, Stony Brook University
9:15 AM	Exploring High-Dimensional Feature Selection Using Reproducibility Methodology — Frank Shen, Penn State University
9:20 AM	Chromosome Level Piecewise Helical Mixing Model for Recovering Chromatin Folding Structure from HiC-Data — Rongrong Zhang, Prudue University ; Michael Yu Zhu, Purdue University ; Ming Hu, Cleveland Clinic
9:35 AM	A Statistical Method for the Analysis of Multiple ChIP-Seq Data Sets — Pedro Luiz Baldoni, Univ of North Carolina At Chapel Hill ; Naim Rashid, University of North Carolina at Chapel Hill ; Joseph G Ibrahim, UNC
9:40 AM	Functional Cox Model for Longitudinal Biomarkers — Jiehuan Sun, Department of Biostatistics, Yale Univeristy ; Jose D. Herazo-Maya, Yale School of Medicine ; Naftali Kaminski, Yale School of Medicine ; Hongyu Zhao, Yale University
9:45 AM	Meta-Analysis of Population Heterogeneity in the IBD Gut Microbiome — Siyuan Ma ; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
9:50 AM	Biodemographic Approaches to Genetic Analyzes of Longevity in Longitudinal Data on Aging — Konstantin Arbeev, Duke University ; Ilya Y. Zhbannikov, Duke University ; Olivia Bagley, Duke University ; Anatoliy I. Yashin, Duke University
10:00 AM	Super-Delta: a New Approach That Combines Gene Expression Data Normalization and Differential Expression Test — Yuhang Liu, Florida State University ; Jinfeng Zhang, Florida State University ; Xing Qiu, University of Rochester
10:05 AM	Association Study of Children's Methylation and Growth Trajectory Using Functional Mixed Models — Colleen McKendry, North Carolina State University ; Arnab Maity, North Carolina State University ; Jung-Ying Tzeng, North Carolina State University
10:15 AM	Floor Discussion

465 *	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-313
Biometrics and High-Dimensional Data — Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics , Section on Statistical Learning and Data Science
Chair(s): Huaqing Zhao
8:35 AM	Data-Adaptive Statistics for Multiple Hypothesis Testing in High-Dimensional Settings — Weixin Cai, University of California, Berkeley ; Alan Hubbard, University of California, Berkeley
9:05 AM	Grouping Methods for Estimating the Prevalences of Rare Traits from Complex Survey Data that Preserve Confidentiality of Respondents — Noorie Hyun, National Cancer Institute ; Joseph Gastwirth, the George Washington University ; Barry I. Graubard, National Cancer Institute
9:20 AM	Test for a Change Point in the Linear Combination of Risk Predictors — Ju Hee Cho, Fred Hutchinson Cancer Research Center ; Ying Huang, Fred Hutchinson Cancer Research Center
9:35 AM	Score Test for Case-Cohort Design Applied to High-Throughput Gene Expression Analysis — Huining Kang, University of New Mexico ; John Carl Pesko, University of New Mexico
9:50 AM	Identification of Conditionally Essential Genes in Transposon Sequencing Studies — Lili Zhao, University of Michigan
10:05 AM	Empirical Null Estimation Using Zero Inflated Discrete Mixture Distributions and Its Application to Protein Domain Data — Iris Ivy Gauran ; Junyong Park, University of Maryland at Baltimore County ; DoHwan Park, University of Maryland, Baltimore County ; Maricel Kann, University of Maryland, Baltimore County ; Thomas Peterson, University of Maryland, Baltimore County ; John Zylstra, University of Maryland, Baltimore County ; John Spouge, NCBI,NLM,NIH ; Johan Lim, Seoul National University

471 *	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-320
Statistical Methods and Challenges in Diagnostic Medicine — Contributed Papers
Section on Medical Devices and Diagnostics , Section on Statistics in Genomics and Genetics
Chair(s): Allison Meisner, University of Washington
8:35 AM	Passing-Bablok Regression Analysis with Rank-Transferred Data in Evaluating Hemostasis State of a Blood Sample — Kyungsook Kim, FDA
8:50 AM	Essential Statistical Methods for Molecular Diagnostics — Jesse Albert Canchola, Roche Molecular Systems Inc. ; Pari Hemyari, Roche Molecular Systems Inc.
9:05 AM	Probability of Detection of Target Nucleic Acid Sequence with PCR Assay in Molecular Diagnostics: Math Model Derivation, Validation and Applications — Jeffrey Vaks, Roche Molecular Diagnostics
9:20 AM	Variant Call Differences Between Paired Reads in Illumina Amplicon Sequencing: An Issue for Rare Mutation Detection — Wei-Min Liu, Roche Molecular Systems Inc. ; Julie Chen, UC Berkeley
9:35 AM	Statistical Considerations in Clinical and Analytical Validations for Next Generation Sequencing Based GeneticTests — Jincao Wu, Food and Drug Administration ; Meijuan Li, CDRH/FDA
9:50 AM	Inferences from Various Study Designs for Companion Diagnostic Device Evaluation — Jeng Mah, Beckman Coulter
10:05 AM	Companion Diagnostic Device Partial Bridging Study in Precision Medicine - Challenges and Methods — Yaji Xu, FDA/CDRH

483	Wed, 8/2/2017, 10:30 AM - 12:20 PM	CC-350
Integration of Diverse Data Sets — Invited Papers
Section on Statistical Learning and Data Science , Section for Statistical Programmers and Analysts , Section on Statistics in Genomics and Genetics
Organizer(s): Michelle Schwalbe, National Academies, CATS
Chair(s): Michael J Daniels, University of Texas at Austin
10:35 AM	Statistical Data Integration Through Networks — Genevera I. Allen, Rice University
11:00 AM	Data Integration for Heterogenous Data Sets — Alfred Hero, III, University of Michigan
11:25 AM	Learning from Multiple Views of a Single Set of Observations — Daniela Witten, University of Washington
11:50 AM	Discussant: Jeffrey S. Morris, The University of Texas M.D. Anderson Cancer Center
12:10 PM	Floor Discussion

484 * !	Wed, 8/2/2017, 10:30 AM - 12:20 PM	CC-316
Recent Statistical Advances in Biomarker Studies in the Era of Precision Medicine — Invited Papers
ENAR , Biometrics Section , WNAR , Section on Statistics in Genomics and Genetics
Organizer(s): Eunhee Kim, National Institute of Neurological Disorders and Stroke, NIH
Chair(s): Eunhee Kim, National Institute of Neurological Disorders and Stroke, NIH
10:35 AM	Mendelian randomization for survival outcomes using semiparametric transformation models — Yen-Tsung Huang, Academia Sinica
10:55 AM	New Machine Learning Tools for Discovering and Utilizing Biomarkers in Precision Medicine — Daniel Luckett, University of North Carolina at Chapel Hill ; Eric Laber, North Carolina State University ; Michael R Kosorok, University of North Carolina at Chapel Hill
11:15 AM	Estimation of ROC Curve with Multiple Types of Missing Gold Standard — Danping Liu, National Institutes of Health ; Xiao-Hua Zhou, University of Washington
11:35 AM	Comparison of Approaches for Incorporating New Information into Existing Risk Prediction Models — Ruth Pfeiffer , National Cancer Institute, NIH, HHS ; Sonja Grill, Technical University of Munich ; Donna Ankerst , Technical University of Munich ; Mitchell Gail , National Cancer Institute, NIH, HHS ; Nilanjan Chatterjee, Johns Hopkins University
11:55 AM	Evaluation of Subgroup-Specific Incremental Value of New Markers for Treatment Selection — Ying Huang, Fred Hutchinson Cancer Research Center
12:15 PM	Floor Discussion

503	Wed, 8/2/2017, 10:30 AM - 12:20 PM	CC-Halls A&B
SPAAC Poster Competition — Topic Contributed Poster Presentations
Scientific and Public Affairs Advisory Committee , Section on Statistics in Genomics and Genetics
Chair(s): Sreelatha Meleth, RTI International
1:	The Prostate Biopsy Collaborative Group — Katharina Selig, Technical University of Munich ; Johanna Straubinger, Technical University of Munich ; Donna Ankerst , Technical University of Munich
2:	Variable Selection And Nonlinear Effect Discovery in Partially Linear Mixture Cure Rate Models — Abdullah Masud, AbbVie
3:	Agents of Change: a Spatial Multivariate Bayesian Test to Identify Factors That Shape a Microbiome — Susheela Singh, North Carolina State University ; Brian Reich, NCSU ; Eric Laber, North Carolina State University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics ; Robert Dunn, North Carolina State University
4:	R/S-Bootstrapping Test for Fractional Integration — Yixun Xing, Southern Methodist University ; Wayne A. Woodward, Southern Methodist University
5:	A Class of Nonseparable and Nonstationary Covariance Functions for Multi-Ouput Gaussian Process — Pulong Ma, Department of Mathematical Sciences, University of Cincinnati ; Bledar Alex Konomi, Department of Mathematical Sciences, University of Cincinnati ; Emily L. Kang, University of Cincinnati
6:	Comparing Quality of Care Across Hospitals: Template Matching Versus Conventional Approaches — Brenda Vincent, VA Center for Clinical Management Research ; Hallie Prescott, VA Center for Clinical Management Research
7:	Dynamic Outlier Detection for Functional Data — Meredith King, North Carolina State University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics ; Luo Xiao, North Carolina State University ; Ciprian M Crainiceanu, Johns Hopkins University
8:	Identification of Sepsis Phenotypes Using Clustering Methods — Zhongying Xu ; Hernando Gomez, University of Pittsburgh ; Joyce Chang, University of Pittsburgh
9:	Spatial Wishart Process and Its Application on Diffusion Tensor Images — Zhou Lan, North Carolina State University ; Brian Reich, NCSU ; Joseph Guinness, NC State University
10:	Utilizing Statistical DOE and Modeling to Understand Foaming for Low VOC Paint Formulations — Wenyu Su, The Dow Chemical Company ; Jeff Sweeney, The Dow Chemical Company ; Sudhakar Balijepalli, The Dow Chemical Company ; Sushma Sanketh, The Dow Chemical Company ; Caroline Hinson, Texas A&M University
12:	Analysis of Data from Complex Chemical Experiments: Application of Bayesian Hierarchical Models — Blaza Toman, NIST
13:	Smokers' Intention to Quit and Behavioral Interventions Used During Last Quit Attempt — Selena Leonardo, University of Central Florida, Burnett School of Biomedical Science, College of Medicine ; Chiung-Ya Tang, University of Central Florida, Burnett School of Biomedical Sciences, College of Medicine ; Julia N. Soulakova, University of Central Florida
14:	The Burden of Healthcare and Housing Spending on US Households — Dennis Walsh, University of Nebraska at Omaha ; Yimeng Sui, University of Nebraska at Omaha ; Tong Wu, University of Nebraska at Omaha
15:	Bayesian Subgroup Finding by Stochastic Optimization — Arinjita Bhattacharyya, University of Louisville ; LURDES INOUE INOUE, University of Washington ; Peter Mueller, UT Austin ; Riten Mitra, UNIVERSITY OF LOUISVILLE

513	Wed, 8/2/2017, 10:30 AM - 12:20 PM	CC-312
Gene Expression Analysis — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Young-Geun Choi, Fred Hutchinson Cancer Research Center
10:35 AM	Two-Step Mixed Model Approach to Analyzing Differential Alternative RNA Splicing — Li Luo, University of New Mexico Comprehensive Cancer Center ; Huining Kang, University of New Mexico ; Scott A. Ness, University of New Mexico Comprehensive Cancer Center ; Christine A. Stidley, University of New Mexico
10:50 AM	Empirical Bayes Estimation of Gene Expression Fold Change — Abbas Rahal, University of Ottawa ; Marta Padilla, University of Ottawa ; David R. Bickel, University of Ottawa
11:05 AM	Discovering Non-Genetic Hidden Variates in Gene Expression Data in the Presence of Polygenicity — Mark Abney
11:20 AM	An Empirical Bayes Method to Predict Gene Expression Levels in a Network — Yan Ren, University of Cincinnati ; Siva Sivaganesan, University of Cincinnati ; Mario Medvedovic , University of Cincinnati
11:35 AM	Global Spectral Clustering in Dynamic Gene Co-Expression Networks — Fuchen Liu, Carnegie Mellon University ; Kathryn Roeder, Carnegie Mellon University ; David Choi, Carnegie Mellon University ; Lu Xie, Carnegie Mellon University
11:50 AM	Genome-Wide Study of MiRNA Regulated Gene Expressions Networks in Association with Emphysematous Lung Destruction — Chong Ma, University of South Carolina Columbia ; Yen-Yi Ho, University of South Carolina
12:05 PM	dtangle: a fast and accurate deconvolution estimator — Gregory Hunt, University of Michigan ; Johann Gagnon-Bartsch, University of Michigan ; Saskia Freytag, Walter and Eliza Hall Institute of Medical Research ; Melanie Bahlo, Walter and Eliza Hall Institute of Medical Research

531	Wed, 8/2/2017, 11:35 AM - 12:20 PM	CC-Halls A&B
SPEED: Statistics in Epidemiology and Genomics and Genetics — Contributed Poster Presentations
Section on Statistics in Epidemiology , Section on Statistics in Genomics and Genetics
Chair(s): Jessi Cisewski, Yale University
1:	Zero-Inflated Model: Is it Sufficient for Estimating Excess Zeros? — Charles Rose, CDC
3:	STATISTICAL METHODS for DEVELOPING IMPROVED ESTIMATES of HIV PREVENTION MEASURES USING SURVEILLANCE DATA — Sahar Zangeneh, Fred Hutchinson Cancer Research Center ; Deborah Donnell, Fred Hutchinson Cancer Research Center ; Ying Chen, Fred Hutchinson Cancer Research Center
4:	Effect of Start Time of Baby Food on Childhood Allergy with Repeatedly Measured Confounder and Intermediator Using Joint and Marginal Model — Ayano Takeuchi, Keio University ; Masami Narita, National Center for Child Health and Development ; Kiwako Yamamoto, National Center for Child Health and Development ; Yukihiro Ohya, National Center for Child Health and Development
5:	Estimating Causal Effects from Using Augmented Inverse Probability Weighted Estimators When Noncompliance Is Measured with Error — David Vock, University of Minnesota ; Jeffrey Boatman ; Joseph Koopmeiners, University of Minnesota
6:	Efficient Statistical Methods for Association Studies with Dense Genotypes and Family History of Disease — Annie Lee, Columbia University ; Yuanjia Wang , Columbia University
7:	Method Selection and Assumption Evaluation: Applications to Gene Expression Data — Demba Fofana
8:	Subgroup Analysis of Censored Survival Data on Cancer Treatment — Qing Zhang, Stony Brook University ; Hongshik Ahn, Stony Brook University
9:	Exploring High-Dimensional Feature Selection Using Reproducibility Methodology — Frank Shen, Penn State University
10:	Chromosome Level Piecewise Helical Mixing Model for Recovering Chromatin Folding Structure from HiC-Data — Rongrong Zhang, Prudue University ; Michael Yu Zhu, Purdue University ; Ming Hu, Cleveland Clinic
12:	A Statistical Method for the Analysis of Multiple ChIP-Seq Data Sets — Pedro Luiz Baldoni, Univ of North Carolina At Chapel Hill ; Naim Rashid, University of North Carolina at Chapel Hill ; Joseph G Ibrahim, UNC
13:	Functional Cox Model for Longitudinal Biomarkers — Jiehuan Sun, Department of Biostatistics, Yale Univeristy ; Jose D. Herazo-Maya, Yale School of Medicine ; Naftali Kaminski, Yale School of Medicine ; Hongyu Zhao, Yale University
14:	Meta-Analysis of Population Heterogeneity in the IBD Gut Microbiome — Siyuan Ma ; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
15:	Biodemographic Approaches to Genetic Analyzes of Longevity in Longitudinal Data on Aging — Konstantin Arbeev, Duke University ; Ilya Y. Zhbannikov, Duke University ; Olivia Bagley, Duke University ; Anatoliy I. Yashin, Duke University
17:	Super-Delta: a New Approach That Combines Gene Expression Data Normalization and Differential Expression Test — Yuhang Liu, Florida State University ; Jinfeng Zhang, Florida State University ; Xing Qiu, University of Rochester
18:	Association Study of Children's Methylation and Growth Trajectory Using Functional Mixed Models — Colleen McKendry, North Carolina State University ; Arnab Maity, North Carolina State University ; Jung-Ying Tzeng, North Carolina State University
The Speed portion will take place during Session 214537

555 * !	Wed, 8/2/2017, 2:00 PM - 3:50 PM	CC-304
Statistical Analysis of Epigenetics Data — Invited Papers
American Association for the Advancement of Science , International Chinese Statistical Association , Section on Statistics in Epidemiology , Section on Statistics in Genomics and Genetics
Organizer(s): Lei Liu, Northwestern University
Chair(s): Lihui Zhao, Northwestern University
2:05 PM	Regularized Estimation in Sparse Multivariate Regression for High-Dimensional DNA Methylation Data — Lei Liu, Northwestern University ; Haixiang Zhang, Tianjin University ; Grace Yoon, Northwestern University ; Yinan Zheng, Northwestern University ; Lifang Hou, Northwestern University ; Wei Zhang, Northwestern University ; Andrea Baccarelli, Columbia University
2:30 PM	The MiAge Calculator: a DNA Methylation-Based Mitotic Clock Calculator of Human Tissue Types — Shuang Wang, Mailman School of Public Health, Columbia University
2:55 PM	Global Prediction of Chromatin Accessibility Using RNA-Seq from Small Number of Cells — Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
3:20 PM	Accounting for Tumor Purity Improves Cancer Subtype Classification from DNA Methylation Data — Hao Wu, Emory University
3:45 PM	Floor Discussion

557 *	Wed, 8/2/2017, 2:00 PM - 3:50 PM	CC-315
Integrated Statistical Methods for Imaging Genomics and Multimodal Imaging — Invited Papers
Biometrics Section , Section on Statistics in Genomics and Genetics , Section on Statistics in Imaging
Organizer(s): Ani Eloyan, Brown University
Chair(s): Zhijin Wu, Brown University
2:05 PM	Bayesian Approaches for Inference on Brain Connectivity Networks — Marina Vannucci, Rice University
2:35 PM	Integrating Imaging and Genomics — Arvind Rao, UT MDACC ; Ganesh Rao, UT MDACC ; Veera Baladandayuthapani, University of Texas MD Anderson Cancer Center ; Michael Lehrer, UT MDACC ; Donnie Kim, UT MDACC
3:05 PM	Discussant: Ani Eloyan, Brown University
3:35 PM	Floor Discussion

565 * !	Wed, 8/2/2017, 2:00 PM - 3:50 PM	CC-316
Data Science in Statistical Genomics: Challenges and Solutions — Topic Contributed Papers
Section on Statistics in Genomics and Genetics , WNAR , Section on Statistics in Genomics and Genetics
Organizer(s): Wei Sun, Fred Hutchinson Cancer Research Center
Chair(s): Ran Tao, Vanderbilt University
2:05 PM	Statistical Methods to Asses Cancer Immune Microenvironment to Identify Biomarkers for Cancer Immunotherapy — Wei Sun, Fred Hutchinson Cancer Research Center
2:25 PM	Testing for Genetic Association in Case-Control Studies Incorporating Multivariate Disease Characteristics — Haoyu Zhang, Johns Hopkins Bloomberg SPH ; Thomas U. Ahearn, National Cancer Institute Division of Cancer Epidemiology & Genetics ; Montserrat García-Closas, National Cancer Institute Division of Cancer Epidemiology & Genetics ; Nilanjan Chatterjee, Johns Hopkins University
2:45 PM	"Efron's Rules" for Inference after Imputation and Model Selection — Karen Messer, UCSD Biostatistics ; Lin Liu, UCSD Biostatistics ; Loki Natarajan, UCSD Biostatistics
3:05 PM	Preliminary Test Estimation and Shrinkage Estimation for Reduced Rank Regression in Cancer Epidemiology Studies — Jaya Satagopan, Memorial Sloan Kettering Cancer Center
3:25 PM	A Score-Based Test for Detection of Gene-Environment Interaction in Families — Saonli Basu, University of Minnesota ; Brandon Coombes, University of Minnesota ; Matt McGue, University of Minnesota
3:45 PM	Floor Discussion

581	Wed, 8/2/2017, 2:00 PM - 3:50 PM	CC-325
High-Throughput Biological Data Analyzed with Bayesian Methods — Contributed Papers
Section on Bayesian Statistical Science , Section on Statistics in Genomics and Genetics
Chair(s): Inyoung Kim, Virginia Tech
2:05 PM	Bayesian Analysis of Continuous Time Markov Chains with Applications to Phylogenetics — Tingting Zhao, University of British Columbia
2:20 PM	A Bayesian Methodology for High-Dimensional Discrete Graphical Models with an Application to Protein Structure Prediction — Anwesha Bhattacharyya ; Yves Atchade, University of Michigan
2:35 PM	Batch Effects Correction with Unknown Subtypes — Xiangyu Luo, The Chinese University of Hong Kong ; Yingying Wei, The Chinese University of Hong Kong
2:50 PM	Bayesian Nonparametric Models for Identification of Differential Genomic Signatures — Chiyu Gu ; Subharup Guha, University of Missouri ; Veera Baladandayuthapani, University of Texas MD Anderson Cancer Center
3:05 PM	Bayesian Multiple Testing for Binary Data — Emrah Gecili ; Siva Sivaganesan, University of Cincinnati
3:20 PM	Floor Discussion

584	Wed, 8/2/2017, 2:00 PM - 3:50 PM	CC-312
Statistical Methods for Genetic Association Analysis — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Hung-Chih Ku, DePaul University
2:05 PM	Set-Based Tests Using the Generalized Berk-Jones Statistic in Genetic Association Studies — Ryan Sun, Harvard University ; Peter Kraft, Harvard University ; Xihong Lin, Harvard TH Chan School of Public Health
2:20 PM	An Adaptive Test on High-Dimensional Parameters in Generalized Linear Models — Chong Wu, University of Minnesota ; Wei Pan, University of Minnesota ; Gongjun Xu, University of Michigan
2:35 PM	Detection of Signal Regions in Whole Genome Association Studies — Zilin Li ; Xihong Lin, Harvard TH Chan School of Public Health
2:50 PM	Improved Rank Truncated Product Method for Combining P-Values — Dmitri Zaykin, NIH/NIEHS ; Olga Vsevolozhskaya
3:05 PM	Detecting Marginal Weak but Jointly Informative Markers in Genome-Wide Association Studies — Yanming Li ; Hyokyoung (Grace) Hong, Michigan State University ; Kevin He, University of Michiga ; Jian Kang, University of Michigan ; Qingyi Wei, Duke University ; Yi Li, University of Michigan
3:20 PM	Inverse Normal Transformation for Genome Wide Association Testing of Quantitative Traits — Zachary McCaw, Harvard School of Public Health ; Xihong Lin, Harvard TH Chan School of Public Health
3:35 PM	Population Based Genetic Association Study for Two Correlated Complex Diseases with Binary Disease Status and an Underlying Pleiotropic Gene — Vishal Midya, Penn State College of Medicine

605 *	Thu, 8/3/2017, 8:30 AM - 10:20 AM	CC-339
Recent Statistical Advance in Functional Genomics — Topic Contributed Papers
ENAR , International Chinese Statistical Association , Section on Statistics in Genomics and Genetics
Organizer(s): Qunhua Li, Penn State University
Chair(s): Trish Goedecke, University of Tennessee Health Science Center
8:35 AM	Assessing Reproducibility of Hi-C Chromatin Loops Using Irreproducible Discovery Rate Regression — Qunhua Li ; Feipeng Zhang, Penn State University ; Tao Yang, Penn State University
8:55 AM	Decision Making in Hierarchical Multi-Label Classification (HMC) Problems with Applications to Disease Diagnosis — Haiyan Huang, Univ of California at Berkeley
9:15 AM	Functional Impact of Epigenomic Variation Between Individuals — Kasper Hansen, Johns Hopkins Biostatistics
9:35 AM	Matched Bipartite Community Detection with Node Covariates — Jingyi Li, UCLA ; Zahra S. Razaee, UCLA ; Arash A. Amini, UCLA
9:55 AM	Statistical Methods for Interrogating Promoter-Enhancer Interactions Originating from Repetitive Regions Using Hi-C Data — Sunduz Keles, University of Wisconsin-Madison ; Ye Zheng, University of Wisconsin
10:15 AM	Floor Discussion

612 * !	Thu, 8/3/2017, 8:30 AM - 10:20 AM	CC-306
New Challenges in High-Dimensional Statistical Inference — Topic Contributed Papers
IMS , Section on Statistics in Genomics and Genetics , Section on Statistical Learning and Data Science
Organizer(s): Lingzhou Xue, The Pennsylvania State University
Chair(s): Zheng Ke, University of Chicago
8:35 AM	Optimal Estimation of Co-Heritability in High-Dimensional Linear Models — Zijian Guo, University of Pennsylvania, Wharton School ; Wangjie Wang , National University of Singapore ; Tony Cai, University of Pennsylvania ; Hongzhe Li, University of Pennsylvania
8:55 AM	Some New Insights in High-Dimensional Independence Tests — Danning Li, Jilin University
9:15 AM	Pairwise Difference Estimation of High Dimensional Partially Linear Model — Fang Han, University of Washington ; Zhao Ren, University of Pittsburg ; Yuxin Zhu, Johns Hopkins University
9:35 AM	Homogeneity Test of Covariance Matrices with High-Dimensional Longitudinal Data — Pingshou Zhong, Michigan State University ; Runze Li, The Pennsylvania State University
9:55 AM	Floor Discussion

626	Thu, 8/3/2017, 8:30 AM - 10:20 AM	CC-347
Bayesian Methods in Genetics and Genomics — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Yang Liu, Fred Hutchinson Cancer Research Center
8:35 AM	A Hierarchical Bayesian Non-Parametric Approach to Modeling Microbial Community Structure — John D O'Brien, Bowdoin College ; Chris Quince, University of Warwick
8:50 AM	Phylogeny-Based Tumor Subclone Identification Using Bayesian Feature Allocation Model — Li Zeng, Yale University ; Hongyu Zhao, Yale University
9:20 AM	Bayesian Mixture Model for Genome-Wide Association Studies — Ori Rosen, Univ of Texas at El Paso ; Wesley Kurt Thompson, UCSD
9:35 AM	A Bayesian GWAS Method Which Utilizes Haplotype Clusters to Make Predictions When Maternal and Paternal Breed Composition Is Known — Danielle Wilson-Wells, University of Nebraska-Lincoln ; Stephen D. Kachman, University of Nebraska-Lincoln
9:50 AM	A Bayesian Multi-Dimensional Genotype Calling Algorithm for Multi-Allelic SNPs — Janice Brodsky ; Jeremy Gollub, Thermo Fisher Scientific ; Dorothy Oliver, Thermo Fisher Scientific ; Teresa Webster, Thermo Fisher Scientific
10:05 AM	A Three-Groups Bayesian Approach to Identifying Beneficial and Deleterious Genes with Applications to Parkinson's Disease — Daisy Philtron, The Pennsylvania State University ; Benjamin A Shaby, Penn State University

635 * !	Thu, 8/3/2017, 10:30 AM - 12:20 PM	CC-316
Advanced Machine Learning Methods for Large-Scale Imaging Data — Invited Papers
Section on Statistical Learning and Data Science , Section on Statistics in Imaging , Section on Statistics in Genomics and Genetics
Organizer(s): Xuan Bi, Yale University
Chair(s): Xiwei Tang, University of Illinois at Urbana-Champaign
10:35 AM	A Statistical Method for Advancing Neuroimaging Genetics — Xuan Bi, Yale University ; Hongtu Zhu, The University of Texas MD Anderson Cancer Center ; Heping Zhang, Yale University School of Public Health
11:00 AM	Bayesian Inference for the Directional Brain Network Modeled by High-Dimensional Damped Harmonic Oscillators Using ECoG Data — Tingting Zhang, University of Virginia ; Qiannan Yin, University of Virginia ; Yinge Sun, University of Virginia ; Brian Scott Caffo, Johns Hopkins ; Dana Boatman-Reich, Johns Hopkins University
11:25 AM	Convex clustering over an undirected graph — Yunzhang Zhu, Ohio State University ; Vincent Vu, The Ohio State University
11:50 AM	Adaptive Testing of SNP-Brain Functional Connectivity Associations Using Modular Network Structures — Wei Pan, University of Minnesota
12:15 PM	Floor Discussion

653 * !	Thu, 8/3/2017, 10:30 AM - 12:15 PM	CC-345
Optimization Methods with Biological Applications — Topic Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics
Organizer(s): Jason Xu, UCLA
Chair(s): Alex Tank, University of Washington
10:35 AM	An MM Algorithm for Split Feasibility Problems — Jason Xu, UCLA ; Eric Chi, North Carolina State University ; Meng Yang, North Carolina State University ; Kenneth Lange, UCLA
10:55 AM	Convex Triclustering — Brian Gaines, North Carolina State University ; Eric Chi, North Carolina State University ; Will Wei Sun, University of Miami ; Hua Zhou, University of California, Los Angeles
11:15 AM	Genotype and Haplotype Imputation by Matrix Completion Methods — Rory Wasiolek, University of California ; Janet Sinshiemer, University of California ; Kenneth Lange, UCLA
11:35 AM	Wasserstein Distance Optimization Using the Brenier Map — Samson Koelle, UNIVERSITY OF WASHINGTON
11:55 AM	Floor Discussion

660 * !	Thu, 8/3/2017, 10:30 AM - 12:20 PM	CC-343
Biomarkers in Clinical Research and Development — Contributed Papers
Biopharmaceutical Section , Section on Statistics in Genomics and Genetics
Chair(s): Jonathan Moscovici, QuintilesIMS
10:35 AM	Modeling and Simulation to Detect Unusual Patterns in Genotoxicity Data (Microbial Assays) — Elena Rantou, FDA/CDER
10:50 AM	A Hypothesis Testing Framework for Validating an Assay for Precision — Michael Fay, National Institute of Allergy and Infectious Diseases ; Michael C Sachs, Karolinska Institutet ; Kazutoyo Miura, National Institute of Allergy and Infectious Disease
11:05 AM	Theoretical and Practical Considerations in Estimation of Heritability on Drug Response from Whole Genome and Molecular Signature SNPs — Wencan Zhang, Takeda Development Center ; Lin Li, BioStat Solutions, Inc. ; Pingye Zhang, Merck ; Yonghong Zhu, Takeda Development Center ; Ling Wang, Takeda Development Center ; Ray Liu, Takeda Development Center
11:35 AM	Floor Discussion

661	Thu, 8/3/2017, 10:30 AM - 12:20 PM	CC-348
Statistical Approaches to High-Dimensional Modeling and Real-World Problems — Contributed Papers
ENAR , Section on Statistics in Genomics and Genetics
Chair(s): Wei Chen, University of Pittsburgh
10:35 AM	A Bayesian Hierarchical Model for Single-Cell RNA-Sequencing Data Clustering — Yiyi Liu, Yale University ; Hongyu Zhao, Yale University
10:50 AM	Models for Dependent Data in Single Cell Gene Expression — Andrew McDavid, University of Rochester Medical Center - Rochester, NY
11:05 AM	FDR Control of the High-Dimensional TOST Tests — Jing Qiu, University Of Delaware ; Yue Qi, SAS
11:20 AM	Bayesian Lasso for GWAS — LiJin Joo, New York University ; Cheongeun Oh, New York University
11:35 AM	Non-parametric Association Testing of fMRI Functional Connectivity and Genetic Similarity — Dustin Pluta, University of California, Irvine ; Hernando Ombao, KAUST and UC Irvine ; Zhaoxia Yu, University of California, Irvine ; Tong Shen, University of California, Irvine
11:50 AM	Sensor Fusion Approach for Detecting Landmines — Andrew Cho, Duke University ; Colin Rundel, Duke University Statistical Science

667	Thu, 8/3/2017, 10:30 AM - 12:20 PM	CC-346
Statistical Genetics — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Xiang Zhan, Fred Hutchinson Cancer Research Center
10:35 AM	A Powerful Approach to Estimating Annotation-Stratified Genetic Correlation Using GWAS Summary Statistics — Qiongshi Lu, Yale University ; Boyang Li, Yale University ; Derek Ou, Yale School of Medicine ; Yiming Hu, Yale University ; Ryan Powles, Yale University ; Tony Jiang, Yale College ; Margret Erlendsdottir, Yale School of Medicine ; David Chang, Yale University ; Chentian Jin, Yale College ; Wei Dai, Yale University ; Qidu He, Shanghai Jiao Tong University ; Zefeng Liu, Shanghai Jiao Tong University ; Shubhabrata Mukherjee, University of Washington ; Paul K. Crane, University of Washington ; Hongyu Zhao, Yale University
10:50 AM	Small and Large Sample Bias of REML Estimates of Genomic Heritability Estimates: An Assessment Using Big Data — Raka Mandal ; Gustavo De Los Campos, Michigan State University ; Alexander Grueneberg, Michigan State University ; Tapabrata Maiti, Michigan State University
11:20 AM	Built-In BLUP Genotype Imputation of Adaptive-Weight Genetic Association Burden Test for Data with Complex Correlations — Ting Guan ; Xiaowei Wu, Virginia Tech
11:35 AM	Accounting for Spatial Variation in Phenotype Distribution in Sequencing Studies with Natural Thin Plate Spline — Ye Ting Du, Harvard University ; Han Chen, University of Texas Health Science Center at Houston ; Xihong Lin, Harvard TH Chan School of Public Health
11:50 AM	Joint Modeling of Genetically Correlated Diseases and Functional Annotations Increases Accuracy of Polygenic Risk Prediction — Yiming Hu, Yale University ; Qiongshi Lu, Yale University ; Wei Liu, Peking University ; Yuhua Zhang, Shanghai Jiao Tong University ; Mo Li, Yale University ; Hongyu Zhao, Yale University
12:05 PM	A Large-Scale Genome-Wide Enrichment Analysis Identifies New Trait-Associated Genes, Pathways and Tissues Across 31 Human Phenotypes — Xiang Zhu, University of Chicago ; Matthew Stephens, University of Chicago

JSM 2017 Online Program

Activity Details

ASA Meetings Department

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