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Biometrics|November 23, 2022
Assessing exposure-time treatment effect heterogeneity in stepped-wedge cluster randomized trialsLara Maleyeff, Fan Li, Sebastien Haneuse, et al.Statistical Methods in Medical Research|June 17, 2025
Permutation tests for detecting treatment effect heterogeneity in cluster randomized trialsLara Maleyeff, Fan Li, Sebastien Haneuse, et al.Statistics in Medicine|November 17, 2023
Sample size requirements for testing treatment effect heterogeneity in cluster randomized trials with binary outcomesLara Maleyeff, Rui Wang, Sebastien Haneuse, et al.The Canadian Journal of Statistics = Revue Canadienne De Statistique|August 11, 2025
Robust causal inference for point exposures with missing confoundersAlexander W Levis, Rajarshi Mukherjee, Rui Wang, et al.Medical Care|December 7, 2013
Distinguishing Selection Bias and Confounding Bias in Comparative Effectiveness ResearchSebastien HaneuseStatistics in Medicine|December 5, 2024
Double Sampling for Informatively Missing Data in Electronic Health Record-Based Comparative Effectiveness ResearchAlexander W Levis, Rajarshi Mukherjee, Rui Wang, et al.EGEMS (Washington, DC)|September 27, 2016
A General Framework for Considering Selection Bias in EHR-Based Studies: What Data Are Observed and Why?Sebastien Haneuse, Michael DanielsEpidemiology (Cambridge, Mass.)|April 15, 2011
Designs for the combination of group- and individual-level dataSebastien Haneuse, Scott BartellScandinavian Journal of Statistics, Theory and Applications|April 26, 2017
A Semi-parametric Transformation Frailty Model for Semi-competing Risks Survival DataFei Jiang, Sebastien HaneuseEpidemiology (Cambridge, Mass.)|October 26, 2017
On the Analysis of Case-Control Studies in Cluster-correlated Data SettingsSebastien Haneuse, Claudia Rivera-RodriguezPageof 1,501