Most Recent Additions*
Integrated multiple mediation analysis: A robustness–specificity trade-off in causal structure
An-Shun Tai and Sheng-Hsuan Lin
Survival mediation analysis with the death-truncated mediator: The completeness of the survival mediation parameter
An-Shun Tai, Chun-An Tsai, and Sheng-Hsuan Lin
Randomization-Based Confidence Intervals for Cluster Randomized Trials
Dustin J. Rabideau and Rui Wang
Estimating Marginal Hazard Ratios by Simultaneously Using A Set of Propensity Score Models: A Multiply Robust Approach
Di Shu, Peisong Han, Rui Wang, and Sengwee Toh
Statistical Inference for Networks of High-Dimensional Point Processes
Xu Wang, Mladen Kolar, and Ali Shojaie
Generalized Matrix Decomposition Regression: Estimation and Inference for Two-way Structured Data
Yue Wang, Ali Shojaie, Tim Randolph, and Jing Ma
Estimation of Conditional Power for Cluster-Randomized Trials with Interval-Censored Endpoints
Kaitlyn Cook and Rui Wang
Variance Estimation in Inverse Probability Weighted Cox Models
Di Shu, Jessica G. Young, Sengwee Toh, and Rui Wang
General approach of causal mediation analysis with causally ordered multiple mediators and survival outcome
An-Shun Tai, Pei-Hsuan Lin, Yen-Tsung Huang, and Sheng-Hsuan Lin
Residual-based Tree for Clustered Binary Data
Rong Xia and Mousumi Banerjee
Model-Robust Inference for Clinical Trials that Improve Precision by Stratified Randomization and Adjustment for Additional Baseline Variables
Bingkai Wang, Ryoko Susukida, Ramin Mojtabai, Masoumeh Amin-Esmaeili, and Michael Rosenblum
Generalized interventional approach for causal mediation analysis with causally ordered multiple mediators
Sheng-Hsuan Lin
Unified Methods for Feature Selection in Large-Scale Genomic Studies with Censored Survival Outcomes
Lauren Spirko-Burns and Karthik Devarajan
Supervised Dimension Reduction for Large-scale "Omics" Data with Censored Survival Outcomes Under Possible Non-proportional Hazards
Lauren Spirko-Burns and Karthik Devarajan
Power Calculation for Cross-Sectional Stepped Wedge Cluster-Randomized Trials with Variable Cluster Sizes
Linda J. Harrison, Tom Chen, and Rui Wang
Inferring a consensus problem list using penalized multistage models for ordered data
Philip S. Boonstra and John C. Krauss
A simulation study of diagnostics for bias in non-probability samples
Philip S. Boonstra, Roderick JA Little, Brady T. West, Rebecca R. Andridge, and Fernanda Alvarado-Leiton
Concentrations of criteria pollutants in the contiguous U.S., 1979 – 2015: Role of model parsimony in integrated empirical geographic regression
Sun-Young Kim, Matthew Bechle, Steve Hankey, Elizabeth (Lianne) A. Sheppard, Adam A. Szpiro, and Julian D. Marshall
Technical Considerations in the Use of the E-value
Tyler J. VanderWeele, Peng Ding, and Maya Mathur
Analysis of Covariance (ANCOVA) in Randomized Trials: More Precision, Less Conditional Bias, and Valid Confidence Intervals, Without Model Assumptions
Bingkai Wang, Elizabeth Ogburn, and Michael Rosenblum
*Updated as of 07/09/20.