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

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

Activity Details

27	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 213
SPEED: Survival Analysis — Contributed Speed
Biometrics Section, Section on Statistics in Epidemiology, Section on Risk Analysis
Chair(s): Xiaoxuan Cai, Yale University
Poster Presentations for this session.
2:05 PM	Regression Calibration to Address Error Prone Time-To-Event Outcomes Eric Oh, University of Pennsylvania; Pamela A Shaw, University of Pennsylvania
2:10 PM	A Gaussian Copula Approach for Dynamic Prediction of Survival with a Longitudinally Measured Marker Presentation Krithika Suresh, University of Michigan; Jeremy M.G. Taylor, University of Michigan; Alexander Tsodikov, University of Michigan
2:15 PM	Adjusting for Covariate Measurement Error in Failure Time Analysis Under Competing Risks Presentation Carrie Caswell, University of Pennsylvania; Sharon X Xie, University of Pennsylvania
2:25 PM	Dependence Modeling for Recurrent Event Times Subject to Right-Censoring with D-Vine Copulas Presentation Nicole Barthel, Technical University Munich; Candida Geerdens, Hasselt University; Claudia Czado, Technical University Munich; Paul Janssen, Hasselt University
2:30 PM	Flexible and Interpretable Models for Survival Data Presentation Jiacheng Wu, Univesity of Washington; Daniela Witten, University of Washington
2:35 PM	Estimation in the Nested Case-Control Design Under Model Misspecification Presentation Michelle Nuno; Daniel L. Gillen, University of California, Irvine
2:45 PM	Temporally Dependent Accelerated Failure Time Model for Capturing the Impact of Events That Alter Survival in Disease Mapping Rachel Carroll, National Institute of Environmental Health Sciences; Andrew B Lawson, Medical University of South Carolina ; Shanshan Zhao, National Institute of Environmental Health Sciences
2:50 PM	An Innovative Approach to Identify Biomarker Signatures for Cancer Genetic Data with Survival Endpoints Presentation Ming Wang, Pennsylvania State University; Zheng Li, Penn State Unviersity
3:00 PM	Survival Analysis Methods for Characterizing B-Cell Mutation Processes David A. Shaw, Fred Hutchinson Cancer Research Center; Jean Feng, University of Washington; Vladimir N. Minin, University of California, Irvine; Noah Simon, University of Washington; Erick A. Matsen, Fred Hutchinson Cancer Research Center
3:05 PM	Competing Risks Matter in the Analysis of Public Health Data: When and How? Dahhay Lee, National Cancer Center; Hyunsoon Cho, National Cancer Center
3:15 PM	Inference for Fine-Gray Competing Risks Model with High-Dimensional Covariates Jue Hou, UCSD Biostatistics; Jelena Bradic, UC San Diego; Ronghui Xu, UC San Diego
3:20 PM	Semiparametric Regression Analysis of Length-Biased Interval-Censored Data Fei Gao, University of Washington; Kwun Chuen Gary Chan, University of Washington
3:25 PM	Sample Size Calculations for Non-Inferiority Trials Using the Concept of Proportional Time Presentation Milind A Phadnis, University of Kansas Medical Center
3:35 PM	Regression Analysis of Recurrent Event Data with Measurement Error Presentation Yixin Ren, University of Maryland, College Park; Xin He, University of Maryland, College Park
3:40 PM	Monitoring Rare Events During an Ongoing Clinical Trial Presentation Haley Hedlin, Stanford University; Victoria Ding, Quantitative Sciences Unit, Stanford School of Medicine
3:45 PM	Matching Methods for Evaluating the Effect of a Time-Dependent Treatment on the Survival Function Danting Zhu, University of Michigan; Douglas E. Schaubel, University of Michigan, Ann Arbor

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

83	Sun, 7/29/2018, 4:00 PM - 4:45 PM	CC-West Hall B
SPEED: Survival Analysis — Contributed Poster Presentations
Biometrics Section, Section on Statistics in Epidemiology, Section on Risk Analysis
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1:	Regression Calibration to Address Error Prone Time-To-Event Outcomes Eric Oh, University of Pennsylvania; Pamela A Shaw, University of Pennsylvania
2:	A Gaussian Copula Approach for Dynamic Prediction of Survival with a Longitudinally Measured Marker Krithika Suresh, University of Michigan; Jeremy M.G. Taylor, University of Michigan; Alexander Tsodikov, University of Michigan
3:	Adjusting for Covariate Measurement Error in Failure Time Analysis Under Competing Risks Carrie Caswell, University of Pennsylvania; Sharon X Xie, University of Pennsylvania
5:	Dependence Modeling for Recurrent Event Times Subject to Right-Censoring with D-Vine Copulas Nicole Barthel, Technical University Munich; Candida Geerdens, Hasselt University; Claudia Czado, Technical University Munich; Paul Janssen, Hasselt University
6:	Flexible and Interpretable Models for Survival Data Jiacheng Wu, Univesity of Washington; Daniela Witten, University of Washington
7:	Estimation in the Nested Case-Control Design Under Model Misspecification Michelle Nuno; Daniel L. Gillen, University of California, Irvine
9:	Temporally Dependent Accelerated Failure Time Model for Capturing the Impact of Events That Alter Survival in Disease Mapping Rachel Carroll, National Institute of Environmental Health Sciences; Andrew B Lawson, Medical University of South Carolina ; Shanshan Zhao, National Institute of Environmental Health Sciences
10:	An Innovative Approach to Identify Biomarker Signatures for Cancer Genetic Data with Survival Endpoints Ming Wang, Pennsylvania State University; Zheng Li, Penn State Unviersity
11:	Survival Analysis Methods for Characterizing B-Cell Mutation Processes David A. Shaw, Fred Hutchinson Cancer Research Center; Jean Feng, University of Washington; Vladimir N. Minin, University of California, Irvine; Noah Simon, University of Washington; Erick A. Matsen, Fred Hutchinson Cancer Research Center
12:	Competing Risks Matter in the Analysis of Public Health Data: When and How? Dahhay Lee, National Cancer Center; Hyunsoon Cho, National Cancer Center
14:	Inference for Fine-Gray Competing Risks Model with High-Dimensional Covariates Jue Hou, UCSD Biostatistics; Jelena Bradic, UC San Diego; Ronghui Xu, UC San Diego
15:	Semiparametric Regression Analysis of Length-Biased Interval-Censored Data Fei Gao, University of Washington; Kwun Chuen Gary Chan, University of Washington
16:	Sample Size Calculations for Non-Inferiority Trials Using the Concept of Proportional Time Milind A Phadnis, University of Kansas Medical Center
18:	Regression Analysis of Recurrent Event Data with Measurement Error Yixin Ren, University of Maryland, College Park; Xin He, University of Maryland, College Park
19:	Monitoring Rare Events During an Ongoing Clinical Trial Haley Hedlin, Stanford University; Victoria Ding, Quantitative Sciences Unit, Stanford School of Medicine
20:	Matching Methods for Evaluating the Effect of a Time-Dependent Treatment on the Survival Function Danting Zhu, University of Michigan; Douglas E. Schaubel, University of Michigan, Ann Arbor
Oral Presentations for this session.

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

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

91	Mon, 7/30/2018, 7:00 AM - 8:15 AM	CC-West Ballroom D
Section on Risk Analysis A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Risk Analysis
Organizer(s): Aric LaBarr, Elder Research Inc.
ML05:	Variability, Risk, and Data Science Aric LaBarr, Elder Research Inc.

144 * !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-East 9
Statistical Methods in Detection and Attribution of Changes in Climate Extremes — Invited Papers
Section on Statistics and the Environment, Section on Risk Analysis, The International Environmetrics Society
Organizer(s): Jun Yan, University of Connecticut
Chair(s): Kun Chen, University of Connecticut
10:35 AM	Fingerprinting Changes in Climate Extremes with Joint Modeling of Observations and Climate Model Simulation Jun Yan, University of Connecticut; Yujing Jiang, Colorado State University; Zhuo Wang, Shenzhen University, China; Xuebin Zhang, Environment and Climate Change Canada
11:00 AM	Exploring Extreme Weather Phenomena by Decomposing Extremal Dependence Presentation Dan Cooley, Colorado State University; Yujing Jiang, Colorado State University
11:25 AM	Probabilities of Causation of Climate Changes Alexis Hannart, Ouranos
11:50 AM	Discussant: Xuebin Zhang, Environment and Climate Change Canada
12:15 PM	Floor Discussion

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

172	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-East 16
Risk Prediction and Analysis — Contributed Papers
Section on Risk Analysis, Section on Physical and Engineering Sciences
Chair(s): Abu Minhajuddin
10:35 AM	Beyond Probabilistic Risk Assessment: Deterrence, Dynamic Threat, and Countermeasure Allocation in Transportation Hubs Presentation Craig Bakker, Pacific Northwest National Laboratory; Robert T Brigantic, Pacific Northwest National Laboratory; Kellie J MacPhee, Pacific Northwest National Laboratory; Nicholas J Betzsold, Pacific Northwest National Laboratory; Daniel P McCabe, Pacific Northwest National Laboratory; Casey J Perkins, Pacific Northwest National Laboratory
11:05 AM	Forecasting of Grape Powdery Mildew Disease Risk in Vineyards Using a Bayesian Learning Network Model Presentation 1 Presentation 2 Nathaniel Newlands, Agriculture and Agri-Food Canada (Science and Technology Branch); Weixun Lu, Agriculture and Agri-Food Canada (Science and Technology Branch); Odile Carisse, Agriculture and Agri-Food Canada (Science and Technology Branch); David E. Atkinson, University of Victoria
11:20 AM	Model-Based Clustering of Nonparametric Weighted Networks with Application to Water Pollution Analysis Presentation Amal Agarwal, Pennsylvania State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
11:35 AM	Infer the in Vivo Point of Departure with ToxCast in Vitro Assay Data Using a Robust Learning Approach Presentation Dong Wang, FDA National Center for Toxicological Research (NCTR)
11:50 AM	Combining Breast Cancer Risk Prediction Models Presentation Zoe Guan; Danielle Braun, Harvard T. H. Chan School of Public Health; Lorenzo Trippa, Harvard; Hajime Uno, Dana Farber Cancer Institute; Kevin S. Hughes, Massachusetts General Hospital; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute
12:05 PM	A Regression Model of Cumulative Incidence for Competing Risks Data with Time-Dependent Exposures Presentation Xingyuan Li, University of Pittsburgh; Joyce Chung-Chou H Chang, University of Pittsburgh

190	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West Hall B
Contributed Poster Presentations: Section on Risk Analysis — Contributed Poster Presentations
Section on Risk Analysis
Chair(s): Paul McNicholas, McMaster University
44:	Parametric Likelihood Inference for Interval Censored and Left Truncated Competing Risks Data Jung In Kim, NIEHS; Jason P Fine, University of North Carolina at Chapel Hill; Margaret Gourlay, UNC-CH; Byeongyeob Choi, University of Texas Health Science Center at San Antonio
45:	Ethereum: Bitcoin 2.0 - Taking the Road Less Travelled Yuanyuan Zhang, University of Manchester
46:	High Frequency Momentum Trading with Cryptocurrencies Stephen Chan, American University of Sharjah
47:	Full-Range Tail Dependence Copulas with Applications in Insurance Rafael Lovas, Purdue University; Tom Leinart, Purdue University; Jianxi Su, Purdue University
48:	Assessing Risk Score Calculation in the Presence of Uncollected Risk Factors Alice Toll, Vanderbilt University; Dandan Liu, Vanderbilt University Medical Center

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

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

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

216564	Tue, 7/31/2018, 5:30 PM - 6:30 PM	F-Nootka
Section on Risk Analysis Business Meeting — Other Cmte/Business
Section on Risk Analysis
Chair(s): Michael Pennell, Ohio State University

216572	Tue, 7/31/2018, 6:30 PM - 8:30 PM	F-Waterfront Ballroom A
Joint SPES, Q&P, Risk, and SDNS Business Meetings and Mixer — Other Cmte/Business
Section on Physical and Engineering Sciences, Quality and Productivity Section, Section on Risk Analysis, Section on Statistics in Defense and National Security
Chair(s): Peter Hovey, University of Dayton

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

503	Wed, 8/1/2018, 10:30 AM - 12:20 PM	CC-East 10
Applying Item Response Theory Models to Estimate Motor Carrier Safety — Invited Panel
Transportation Statistics Interest Group, Section on Physical and Engineering Sciences, Section on Risk Analysis
Organizer(s): Mike L. Cohen, Committee on National Statistics
Chair(s): Carol A.C. Flannagan, University of Michigan, Transport Research Institute
10:35 AM	Applying Item Response Theory Models to Highway Safety Presentation 1 Presentation 2
Panelists:	Donald Hedeker, University of Chicago Joel Greenhouse, CMU Linda Ng Boyle, University of Washington
12:10 PM	Floor Discussion

548	Wed, 8/1/2018, 12:30 PM - 1:50 PM	CC-West Ballroom D
CANCELED: Section on Risk Analysis P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Risk Analysis
Organizer(s): Aric LaBarr, Elder Research Inc.

558 !	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 212
Innovations in Teaching Undergraduate Probability — Invited Papers
Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Section on Risk Analysis, Business Analytics/Statistics Education Interest Group
Organizer(s): Dennis L Sun, Cal Poly and Google
Chair(s): Dennis L Sun, Cal Poly and Google
2:05 PM	Teaching Probability via Stories and Mistakes Presentation Joseph Blitzstein, Harvard University
2:25 PM	A Simulation-Based Approach to Teaching Probability Using the Symbulate Package Presentation Kevin J Ross, Cal Poly; Dennis L Sun, Cal Poly and Google
2:45 PM	Teaching Markov Chains Using Java Applets Jeffrey S Rosenthal, University of Toronto
3:05 PM	Using Texas Hold 'Em Examples to Teach Probability Presentation Frederic Paik Schoenberg, UCLA
3:25 PM	Discussant: Amy Wagaman, Amherst College
3:45 PM	Floor Discussion

587	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 117
Risk Modeling — Contributed Papers
Section on Risk Analysis
Chair(s): Xin Cao, Merck
2:20 PM	Inference on Multiple AUCs Based on the Combination of Multiple Biomarkers Presentation Shu-Hui Lin, National Taichung University of Science and Technology
2:35 PM	Variational EM Type Algorithm Using Divergences:Applications to Privacy Analytics Presentation Lei Li, George Mason University; Anand N Vidyashankar, George Mason University
2:50 PM	The Predictive Risk of Misspecified Quantile Regression Presentation Alexander Giessing, University of Michigan; Xuming He, University of Michigan
3:05 PM	A Coskewness Shrinkage Approach for Estimating the Skewness of Linear Combinations of Random Variables Presentation Dries Cornilly, KU Leuven and VUB; Kris Boudt, Vrije Universiteit Brussel; Tim Verdonck, KU Leuven
3:20 PM	Divergence-Based Risk Measures: a Discussion on Sensitivities and Extensions Presentation Meng Xu, Sichuan University; José Miguel Angulo Ibáñez, University of Granada
3:35 PM	Add Time Dimension to the Prediction: a Multi-Stage, Sequential Prediction Model Presentation Zheng Zhang, Brown University

618 * !	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 223
Modeling Extremes in Weather, Networks, and Finance — Topic Contributed Papers
Section on Risk Analysis
Organizer(s): John P Nolan, American University
Chair(s): John P Nolan, American University
8:35 AM	Local Likelihood Estimation of Complex Tail Dependence Structures in High Dimensions, Applied to U.S. Precipitation Extremes Raphaël Huser, KAUST; Daniela Castro, King Abdullah University of Science and Technology
8:55 AM	Areal Extremes: An Analysis of the Areal Impact of Heat Waves in Conterminous US Presentation Stilian Stoev, University of Michigan; Shrijita Bhattacharya, University of Michigan
9:15 AM	Are Extreme Value Estimation Methods Useful for Network Data? Presentation Tiandong Wang, School of Operations Research and Information Engineering
9:35 AM	Fitting the Linear Preferential Attachment Model Presentation Sidney I. Resnick, Cornell University; Phyllis Wan, Columbia University; Richard A. Davis, Columbia University; Tiandong Wang, School of Operations Research and Information Engineering
9:55 AM	Conditional Extremes in Financial Markets Natalia Nolde, The University of British Columbia; Jinyuan Zhang, INSEAD
10:15 AM	Floor Discussion

648 *	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-West 215/216
Statistical Challenges in the Analysis of EHR Data — Invited Papers
Health Policy Statistics Section, Section on Risk Analysis, Section on Statistics in Epidemiology
Organizer(s): Elizabeth Sweeney, Flatiron Health
Chair(s): Brian Segal, Flatiron Health
10:35 AM	Risk Prediction Using Longitudinal Predictors: An Application to Electronic Health Records Data Presentation Benjamin A Goldstein, Duke University; Michael Pencina, Duke University; Gina-Maria Pomann, Duke University; Wolfgang Winkelmayer, Baylor University
10:55 AM	Utilizing Statistical Methods for Pre-Processing EHR Data for Analysis Presentation Alex Milinovich, Cleveland Clinic
11:15 AM	Deriving and Analyzing Endpoints from Electronic Health Record Data: a Case Study from Clinical Oncology Presentation Sandra Griffith, Flatiron Health; Ariel Bourla, Flatiron Health; Bryan Bowser, Flatiron Health ; Geoff Calkins, Flatiron Health; Joe Chang, Flatiron Health; Rebecca Miksad , Flatiron Health ; Brian Segal, Flatiron Health; Elizabeth Sweeney, Flatiron Health ; Erin Williams, Flatiron Health ; Paul You , Flatiron Health ; Amy Abernethy, Flatiron Health
11:35 AM	Floor Discussion

665 * !	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-West 210
Big Data: Professional and Ethical Challenges from the Perspective of Actuaries, Statisticians and Data Scientists — Topic Contributed Panel
Section on Risk Analysis, American Academy of Actuaries, General Methodology
Organizer(s): Steve Jackson, American Academy of Actuaries
Chair(s): Dorothy Andrews, Merlinos & Associates
10:35 AM	Big Data: Professional and Ethical Challenges from the Perspective of Actuaries, Statisticians and Data Scientists Presentation 1 Presentation 2 Presentation 3
Panelists:	Edward Frees, University of Wisconsin Jim Guszcza, Deloitte US Victoria Stodden, University of Illinois
12:10 PM	Floor Discussion

JSM 2018 Online Program

Activity Details

American Statistical Association