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Statistical Methods in Medical Research|August 23, 2019
Time-to-event analysis when the event is defined on a finite time intervalCatherine Lee, Stephanie J Lee, Sebastien HaneuseBMC Medical Research Methodology|January 12, 2021
Fitting a shared frailty illness-death model to left-truncated semi-competing risks data to examine the impact of education level on incident dementiaCatherine Lee, Paola Gilsanz, Sebastien HaneuseThe R Journal|February 19, 2021
SemiCompRisks: An R Package for the Analysis of Independent and Cluster-correlated Semi-competing Risks DataDanilo Alvares, Sebastien Haneuse, Catherine Lee, et al.Medical Care|December 7, 2013
Distinguishing Selection Bias and Confounding Bias in Comparative Effectiveness ResearchSebastien HaneusePlos One|January 19, 2018
Prediction of absolute risk of acute graft-versus-host disease following hematopoietic cell transplantationCatherine Lee, Sebastien Haneuse, Hai-Lin 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 HaneuseStatistics in Medicine|July 15, 2025
Adjusting for Selection Bias Due to Missing Data in Electronic Health Records-Based Research by Blending Multiple Imputation and Inverse Probability WeightingTanayott Thaweethai, Rajarshi Mukherjee, David Arterburn, et al.Epidemiology (Cambridge, Mass.)|October 26, 2017
On the Analysis of Case-Control Studies in Cluster-correlated Data SettingsSebastien Haneuse, Claudia Rivera-RodriguezPageof 109