Emerging Challenges for Statistics and Data Sciences: Complex Data with Missingness, Measurement Errors, and High Dimensionality
Videos from BIRS Workshop
Andrea Rotnitzky, Di Tella University
Monday May 23, 2022 09:00 - 09:45
Towards deriving graphical rules for efficient estimation in causal graphical models
Fan Li, Duke University
Monday May 23, 2022 09:45 - 10:30
Are deep learning models superior for missing data imputation in surveys? Evidence from an empirical comparison
Jae-Kwang Kim, Iowa State University
Monday May 23, 2022 11:00 - 11:45
An information projection approach to propensity score estimation for handling selection bias in voluntary samples
Jörn Diedrichsen, Western University
Monday May 23, 2022 11:45 - 12:30
Estimating human brain organisation by fusion across functional imaging datasets
Camelia Goga, Université de Franche-Comté
Monday May 23, 2022 14:00 - 14:45
Random-forest model-assisted estimation in finite population sampling
Daniel Scharfstein, University of Utah
Monday May 23, 2022 16:00 - 16:45
Trials with Irregular and Informative Assessment Times: A Sensitivity Analysis Approach
Joan Hu, Simon Fraser University
Tuesday May 24, 2022 09:00 - 09:45
Statistical Issues on Large Administrative Health Data
Raymond Wong, Texas A&M University
Tuesday May 24, 2022 09:45 - 10:30
Matrix Completion with Model-free Weighting
Xinran Li, University of Illinois at Urbana-Champaign
Tuesday May 24, 2022 11:00 - 11:45
Randomization Inference beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects
Erica Moodie, McGill University
Tuesday May 24, 2022 11:45 - 12:30
Penalized doubly robust regression-based estimation of adaptive treatment strategies
Peisong Han, University of Michigan
Tuesday May 24, 2022 14:00 - 14:45
Integrating summary information from many external studies with heterogeneous populations
Fan Yang, University of Colorado Anschutz Medical Campus
Tuesday May 24, 2022 14:45 - 15:30
Identifiability of direct and indirect effects in mediation studies with nonignorable missingness in mediator and outcome
Kosuke Morikawa, Osaka University
Tuesday May 24, 2022 16:00 - 16:45
Semiparametric adaptive estimation under informative sampling
Jay Breidt, NORC at the University of Chicago
Tuesday May 24, 2022 16:45 - 17:30
Dual-frame estimation approaches for combining probability and nonprobability samples
Julie Josse, Inria
Wednesday May 25, 2022 09:45 - 10:30
Supervised learning with missing values
Jiwei Zhao, University of Wisconsin-Madison
Wednesday May 25, 2022 11:00 - 11:45
Statistical Exploitation of Unlabeled Data under High Dimensionality
Sixia Chen, The University of Oklahoma Health Sciences Center
Wednesday May 25, 2022 11:45 - 12:30
Multiple model-assisted approach to missing data in survey sampling: more than multiply robustness
Alessandra Mattei, University of Florence
Thursday May 26, 2022 09:00 - 09:45
Assessing causal effects in the presence of treatment switching through principal stratification
Zhichao Jiang, University of Massachusetts
Thursday May 26, 2022 09:45 - 10:30
Experimental Evaluation of Algorithm-Assisted Human Decision Making
Edward Kennedy, Carnegie Mellon University
Thursday May 26, 2022 11:00 - 11:45
Nonparametric Estimation of Heterogeneous Effects
Rebecca Andridge, Ohio State University
Thursday May 26, 2022 11:45 - 12:30
Measures of Selection Bias for Proportions Estimated from Non-Probability Samples, With Application to Polling Data
Changbao Wu, University of Waterloo
Thursday May 26, 2022 14:00 - 14:45
Dealing with Under-Coverage Problems for Non-probability Survey Samples
Karthika Mohan, Oregon State University
Thursday May 26, 2022 14:45 - 15:30
Graphical Models and Causality for Handling Corrupted Data
Anqi Zhao, National University of Singapore
Thursday May 26, 2022 16:00 - 16:45
No star is good news: a unified look at rerandomization based on p-values from covariate balance tests
Wang Miao, Peking university
Thursday May 26, 2022 16:45 - 17:30
A stableness of resistance model for nonresponse adjustment with callback data
