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* = applied session       ! = JSM meeting theme

Activity Details

25 * !
Mon, 8/3/2020, 10:00 AM - 11:50 AM Virtual
Modern Techniques in Handling Missing Data with Challenging Data Structures Including Big and Small Data Files — Topic Contributed Papers
Survey Research Methods Section, SSC (Statistical Society of Canada), Korean International Statistical Society
Organizer(s): Sixia Chen, University of Oklahoma Health Sciences Center
Chair(s): Sixia Chen, University of Oklahoma Health Sciences Center
10:05 AM Nearest Neighbor Multiple Imputation: Problems and Potential Solutions Presentation
Rebecca Andridge, Ohio State University; Katherine Jenny Thompson, US Census Bureau
10:25 AM Bayesian Jackknife Empirical Likelihood Based Inference for Missing Data and Causal Inference Problems
Yichuan Zhao, Georgia State University; Sixia Chen, University of Oklahoma Health Sciences Center; Yuke Wang, Georgia State University
10:45 AM A Rescaling Bootstrap Method for Imputed Survey Data
Zeinab Mashreghi, University of Winnipeg; Huiqi Deng, University of Winnipeg
11:05 AM Missing Data Analysis Using Machine Learning
Chao Xu, University of Oklahoma Health Science Center; Sixia Chen, University of Oklahoma Health Sciences Center
11:25 AM Discussant: Don Jang, National Opinion Research Center(NORC) at the University of Chicago
11:45 AM Floor Discussion

Mon, 8/3/2020, 10:00 AM - 2:00 PM Virtual
Recent Developments in Modeling High-Dimensional and Complex Data — Contributed Papers
SSC (Statistical Society of Canada)
Chair(s): Lisa M Lix, University of Manitoba
Study of Estimation Methods for Probability of Detection for Structural Health Monitoring Presentation
Emily O'Connor, The Boeing Company; Sabyasachi Basu, The Boeing Company; Jeong-Beom Ihn, The Boeing Company; James Dunne, The Boeing Company; Lawrence Pado, The Boeing Company
Box-Cox Transformations in High-Dimensional Linear Models Presentation
William Ruth, Simon Fraser University; Richard Lockhart, Simon Fraser University
Analyzing high-dimensional gene expression data by using the regularization techniques Presentation
Kumer Das, University of Louisiana At Lafayette; Aiden Kenny, Franklin and Marshall College; Danielle Solomon, St. John's University
Latent Class Models for Individual Participant Data Meta-Analyses of Diagnostic Test Accuracy Studies with Imperfect Reference Standards
Zelalem Negeri, McGill University; Brooke Levis, Keele University; Yin Wu, Department of Psychiatry, McGill University; Nandini Dendukuri, McGill University; Brett Thombs, Jewish General Hospital; Andrea Benedetti, McGill University
Model-Based Clustering and Classification Using Mixtures of Multivariate Skewed Power Exponential Distributions
Utkarsh Dang, Binghamton University; Michael Gallaugher, McMaster University; Ryan Browne, University of Waterloo; Paul McNicholas, McMaster University
Learning the Basis Function in a Semiparametric Density Ratio Model Presentation
Archer Zhang, University of British Columbia; Jiahua Chen, University of British Columbia

101 *
Mon, 8/3/2020, 1:00 PM - 2:50 PM Virtual
Recent Advances in Statistical Modeling of Infectious Diseases — Invited Papers
SSC (Statistical Society of Canada), Canadian Statistical Sciences Institute, Biometrics Section
Organizer(s): Mahmoud Torabi, University of Manitoba
Chair(s): Rhonda J. Rosychuk, University of Alberta
1:05 PM Geographically-Dependent Individual-Level Models for Infectious Disease Transmission
Rob Deardon, University of Calgary
1:30 PM Inference for Individual-Level Models of Infectious Diseases with Covariates Measurement Error
Leila Amiri, University of Manitoba; Mahmoud Torabi, University of Manitoba; Rob Deardon, University of Calgary
1:55 PM A logistic growth model with logistically varying carrying capacity for Covid-19 deaths using data from Ontario, Canada.
Charmaine Dean, University of Waterloo; Georges Bucyibaruta, University of Waterloo; Elizabeth Renouf, University of Waterloo
2:20 PM Zero-Inflated Models for Adjusting Varying Exposures: A Cautionary Note on the Pitfalls of Using Offset
Cindy Feng, University of Ottawa
2:45 PM Floor Discussion

160 * !
Tue, 8/4/2020, 10:00 AM - 11:50 AM Virtual
Novel Perspectives on the Estimation of Longitudinal Effects — Topic Contributed Papers
SSC (Statistical Society of Canada), ENAR, Biometrics Section
Organizer(s): Mireille Schnitzer, Université de Montréal
Chair(s): Mireille Schnitzer, Université de Montréal
10:05 AM Dealing with Treatment-Confounder Feedback and Sparse Follow-Up in Longitudinal Studies: Application of a Marginal Structural Model in a Multiple Sclerosis Cohort
Mohammad Ehsanul Karim, University of British Columbia; Helen Tremlett, University of British Columbia; Feng Zhu, University of British Columbia; John Petkau, University of British Columbia; Elaine Kingwell, University of British Columbia
10:25 AM A Test for the Correct Specification of Marginal Structural Models Presentation
Denis Talbot, Universite Laval; Alioune Sall, Universite Laval; Karine Aube, Universite Laval; Xavier Trudel, Universite Laval; Chantal Brisson, Universite Laval
10:45 AM Longitudinal Data from Electronic Health Records: Handling Irregular and Informative Observation
Eleanor Pullenayegum, Hospital for Sick Children
11:05 AM Causal Effects Using Longitudinal Modified Treatment Policies
Iván Díaz, Weill Cornell Medicine
11:25 AM Mediation Analysis When Outcome and Mediator Are Semi-Competing Events with Application in Health Disparities Research
Linda Valeri, Columbia
11:45 PM Floor Discussion

Tue, 8/4/2020, 10:00 AM - 2:00 PM Virtual
Contributed Poster Presentations: SSC (Statistical Society of Canada) — Contributed Poster Presentations
SSC (Statistical Society of Canada)
1: Some Results on the Additivity and Multiplication Order Preserving Properties of Stochastic Orders
Mohsen Soltanifar, University of Toronto
2: Improved Bounds on Minimax Regret Under Logarithmic Loss via Self-Concordance
Blair Bilodeau, University of Toronto; Dylan J Foster, Massachusetts Institute of Technology; Daniel M Roy, University of Toronto

245 *
Tue, 8/4/2020, 1:00 PM - 2:50 PM Virtual
New Innovations and Challenges in Survey Sampling — Invited Papers
Canadian Statistical Sciences Institute, SSC (Statistical Society of Canada)
Organizer(s): David Haziza, Université de Montréal
Chair(s): David Haziza, Université de Montréal
1:05 PM Efficient Multiply Robust Imputation Procedures in the Presence of Influential Units
Sixia Chen, University of Oklahoma Health Sciences Center; David Haziza, Université de Montréal; Victoire Michal, McGill University
2:05 PM Floor Discussion

265 *
Tue, 8/4/2020, 1:00 PM - 2:50 PM Virtual
Innovations in Statistics for Astronomy and Space Physics — Topic Contributed Papers
SSC (Statistical Society of Canada), Section on Physical and Engineering Sciences, Astrostatistics Special Interest Group, Quality and Productivity Section
Organizer(s): Gwendolyn M Eadie, University of Toronto
Chair(s): Aaron Springford
1:05 PM The Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)
Renee Hlozek, University of Toronto
1:25 PM Gibbs Point Process Model for Objects in the Star Formation Complexes of M33
Dayi Li, Western University; Pauline Barmby, Western University; Ian McLeod, Western University
1:45 PM Likelihood-Free Inference of Chemical Homogeneity in Open Clusters
Aarya Patil; Jo Bovy, University of Toronto
2:05 PM Bayesian Inference and Computation for Old Star Clusters
Gwendolyn M Eadie, University of Toronto; Jeremy Webb, University of Toronto; Jeffrey Rosenthal, University of Toronto
2:25 PM Incorporating Computer Simulations into Astrostatistical Analyses
David Stenning, Imperial College London
2:45 PM Floor Discussion

427 * !
Thu, 8/6/2020, 10:00 AM - 11:50 AM Virtual
Various Challenges and Strategies in Analysis of Real-Life Data — Invited Papers
SSC (Statistical Society of Canada), Lifetime Data Science Section, International Chinese Statistical Association
Organizer(s): Joan X. Hu, Simon Fraser University
Chair(s): Wendy Lou, University of Toronto
10:05 AM Informative Visit Patterns in Longitudinal Health Care Claims Data
Robert Platt, McGill University
10:30 AM Support Vector Machine with Graphical Network Structures in Features
Wenqing He, University of Western Ontario; Grace Yi, Unievrsity of Western Ontario; Li-Pang Chen, University Of Western Ontario
10:55 AM Statistical Analysis of Duration Data with Missing Time Origins
Joan X. Hu, Simon Fraser University; Yi Xiong, Simon Fraser University; John Braun, University of British Columbia
11:20 AM Discussant: Rhonda J. Rosychuk, University of Alberta
11:45 AM Floor Discussion

444 !
Thu, 8/6/2020, 10:00 AM - 11:50 AM Virtual
Highlights from the Journal STAT — Topic Contributed Papers
SSC (Statistical Society of Canada), International Statistical Institute, Section on Statistical Learning and Data Science, WNAR
Organizer(s): Hao Helen Zhang, University of Arizona
Chair(s): Hao Helen Zhang, University of Arizona
10:05 AM Baum-Welch Algorithm on Directed Acyclic Graph for Mixtures with Latent Bayesian Networks
Jia Li, Penn State University; Lin Lin, The Pennsylvania State University
10:25 AM Penalized Euclidean Distance Regression
Daniel Vasiliu, College of William & Mary; Ian Dryden, University of Nottingham; Tanujit Dey, Harvard Medical School and Brigham and Women's Hospital
10:45 AM Syncytial Clustering
Ranjan Maitra, Iowa State University; Israel A. Almodovar-Rivera, University of Puerto Rico
11:05 AM Clustering and Bi-Clustering for High-Frequency Financial Time Series Based on Mutual Information
Jian Zou, Worcester Polytechnic Institute; Haitao Liu, Worcester Polytechnic Institute; Nalini Ravishanker, University of Connecticut
11:25 AM From Causal Inference to Gene Regulation
Caroline Uhler, Massachusetts Institute of Technology
11:45 AM Floor Discussion

532 * !
Thu, 8/6/2020, 1:00 PM - 2:50 PM Virtual
Making Big and Complex Imaging Data Count with New Statistical Tools — Invited Papers
SSC (Statistical Society of Canada), Section on Statistics in Imaging, Section on Statistical Graphics
Organizer(s): Linglong Kong, University of Alberta
Chair(s): Nathoo Farouk, University of Victoria
1:05 PM Multivariate Functional Responses Low Rank Regression with an Application to Brain Imaging Data
Xiucai Ding, Duke University; Dengdeng Yu, University of Toronto; Zhengwu Zhang, University of Rochester; Dehan Kong, University of Toronto
1:30 PM Modeling Brain Connectivity in Real Time
Hernando Ombao, King Abdullah Univ. of Science and Technology (KAUST); Chee-Ming Ting, King Abdullah Univ. of Sci. and Tech (KAUST); Marco Pinto, King Abdullah Univ. of Science and Technology (KAUST)
1:55 PM Adaptive Regularization in Complex Settings: Multimodal Brain Imaging
Jaroslaw Harezlak, Indiana University; Damian Brzyski, Wroclaw University of Science and Technology, Poland; Kewin Paczek, Jagiellonian University, Krakow, Poland; Joaquin Goni, Purdue University; Timothy Randolph, Fred Hutchinson Cancer Research Center; Beau Ances, Washington University School of Medicine
2:20 PM Discussant: Adam Kashlak, University of Alberta
2:45 PM Floor Discussion

556 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
Causal Inference for Complex Data Challenges — Invited Papers
SSC (Statistical Society of Canada), Health Policy Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Linbo Wang, University of Toronto
3:05 PM Weighting Methods to Account for Covariate-Informed Monitoring Times
Erica E M Moodie, McGill University; Janie Coulombe, McGill University; Robert Platt, McGill University
3:30 PM Bayesian Approaches to Causal Inference: Some Comments on the Present Position and the Path Ahead
Paul Gustafson, University of British Columbia
3:55 PM Causal Inference at Large Scale Ride-Hailing Two Sided Platforms
SHIKAI LUO, Didi Chuxing
4:20 PM A Model for Effect Modification Using Targeted Learning with Observational Data Arising from Multiple Studies
Mireille Schnitzer, Université de Montréal; Yan Liu, McGill University; Dick Menzies, McGill University Health Centre; Edward Kennedy, Carnegie Mellon University; Andrea Benedetti, McGill University
4:45 PM Floor Discussion