Name: 2021 Joint Statistical Meetings
Start: 2021-08-08T07:00:00+00:00
End: 2021-08-12

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* = applied session ! = JSM meeting theme

69 !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Highlights of the Canadian Journal of Statistics — Invited Papers
SSC (Statistical Society of Canada), Canadian Statistical Sciences Institute
Organizer(s): Fang Yao, Peking University
Chair(s): Fang Yao, Peking University
10:05 AM	Homogeneity Testing Under Finite Location-Scale Mixtures Jiahua Chen, University of British Columbia; Pengfei Li, University of Waterloo; Guangfu Liu, Shanghai University of International Business and Economic
10:30 AM	A Directional Look at F-Tests Nancy Reid, University of Toronto; Andrew McCormack, Duke University
10:55 AM	Post Model-Fitting Exploration via a 'Next-Door' Analysis Robert Tibshirani, Stanford Univ; Leying Guan, Yale Univ
11:20 AM	Random Weighting Schemes for Bayesian Computation Michael Newton, University of Wisconsin, Madison; Nicholas Polson, University of Chicago; Jianeng Xu, University of Chicago; Tun Lee Ng, University of Wisconsin, Madison
11:45 AM	Floor Discussion

110 * !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Spatio-Temporal Modeling of the COVID-19 Pandemic: Statistics, Data, and the Stories They Tell — Invited Papers
Section on Statistics in Epidemiology, International Statistical Institute, Canadian Statistical Sciences Institute
Organizer(s): Ying C MacNab, University of British Columbia
Chair(s): Ying C MacNab, University of British Columbia
1:35 PM	Use of Time-Varying Contact Data in Endemic-Epidemic Modeling of COVID-19 Incidence Leonard Held, University of Zurich
2:00 PM	A Latent Spatial Model for Pandemic Prediction Marcos O. Prates, Universidade Federal de Minas Gerais
2:25 PM	Spatio-Temporal Bayesian Modeling of County-Level COVID-19 Incidence in South Carolina Presentation Andrew Booth Lawson, Medical University of South Carolina; Joanne Kim, Medical University of South Carolina
2:50 PM	Geographical Trends in the COVID-19 Epidemic in Belgium Christel Faes, Hasselt University
3:15 PM	Floor Discussion

144 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Biases, Batch Effects, and Novel Statistical Methodologies: Handling Them in Large-Scale Microbiome Sequencing Studies — Invited Papers
ENAR, Biometrics Section, Canadian Statistical Sciences Institute
Organizer(s): Ni Zhao, Johns Hopkins University
Chair(s): Anna Plantinga, Williams College
10:05 AM	ConQuR: Batch Effect Correction for Microbiome Data via Conditional Quantile Regression Wodan Ling, Fred Hutchinson Cancer Research Center; Michael C Wu, Fred Hutchinson Cancer Research Center
10:25 AM	Bias-Robust Analysis of Microbiome Data Glen Satten, Emory University
10:45 AM	Differential Abundance Analysis of Microbiomes with Bias Correction Shyamal Peddada, The Eunice Kennedy Shriver National Institute of Child Health and Human Development
11:05 AM	BugSigDB: A Database of Published Microbial Signatures Levi Waldron, CUNY Graduate school Public Health and Health Policy
11:25 AM	Integrative Analysis of Multiple Microbiome Data Sets: Robust Models Against Biases and Batches Ni Zhao, Johns Hopkins University; Mengyu He, JOHNS HOPKINS UNIVERSITY; Runzhe Li, Johns Hopkins Bloomberg School of Public Health
11:45 AM	Floor Discussion

182 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
New Approaches in Statistical Modeling of Infectious Diseases — Invited Papers
Canadian Statistical Sciences Institute, SSC (Statistical Society of Canada), Biometrics Section
Organizer(s): Mahmoud Torabi, University of Manitoba
Chair(s): Rhonda J. Rosychuk, University of Alberta
1:35 PM	Time Series Approaches to Compare Covid-19 Mortality in the Province of Ontario, Canada, Across Three Epidemic Waves Charmaine Dean, University of Waterloo; Georges Bucyibaruta, University of Waterloo; Elizabeth Renouf, University of Waterloo; Dexen Xi, National Research Council Canada
2:00 PM	Inference for Individual-Level Models of Infectious Diseases with an Application to the COVID-19 Pandemic Mahmoud Torabi, University of Manitoba; Leila Amiri, University of Manitoba
2:25 PM	Machine Learning-Assisted Infectious Disease Modeling Presentation Rob Deardon, University of Calgary
2:50 PM	Spatial-Temporal Modeling of COVID-19 Mortality Risk in Toronto, Canada Cindy Feng, Dalhousie University
3:15 PM	Floor Discussion

260 !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Statistical Methods for Handling Imperfect Data Subject to Missing and/or Mismeasurement — Invited Papers
SSC (Statistical Society of Canada), Canadian Statistical Sciences Institute
Organizer(s): Chunfang Devon Lin, Queen's University
Chair(s): Joan X. Hu, Simon Fraser University
1:35 PM	Full-Semiparametric-Likelihood-Based Inference for Nonignorable Missing Data Pengfei Li, University of Waterloo
2:00 PM	Analysis of Length-Biased Survival Data with Misclassified Covariate Hua Shen, University of Calgary
2:25 PM	Inference Acknowledging Measurement Error: Honing the Concepts and Meeting the Scientific Need Paul Gustafson, University of British Columbia
2:50 PM	Discussant: Juxin Liu, University of Saskatchewan
3:15 PM	Floor Discussion

JSM 2021 Online Program