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Statistical Methods in Medical Research|April 12, 2022
Sensitivity analysis for calibrated inverse probability-of-censoring weighted estimators under non-ignorable dropoutLi Su, Shaun R Seaman, Sean YiuStatistical Methods in Medical Research|July 9, 2025
Inference procedures in sequential trial emulation with survival outcomes: Comparing confidence intervals based on the sandwich variance estimator, bootstrap and jackknifeJuliette M Limozin, Shaun R Seaman, Li SuBiometrics|November 28, 2020
Joint calibrated estimation of inverse probability of treatment and censoring weights for marginal structural modelsSean Yiu, Li SuBiometrika|April 30, 2019
Covariate association eliminating weights: a unified weighting framework for causal effect estimationSean Yiu, Li SuBiometrics|May 18, 2018
Semi-parametric methods of handling missing data in mortal cohorts under non-ignorable missingnessLan Wen, Shaun R SeamanBMC Medical Research Methodology|October 18, 2006
Re-interpreting conventional interval estimates taking into account bias and extra-variationMichael Höfler, Shaun R SeamanStatistical Science : a Review Journal of the Institute of Mathematical Statistics|May 8, 2018
Introduction to Double Robust Methods for Incomplete DataShaun R Seaman, Stijn VansteelandtStatistical Methods in Medical Research|January 12, 2011
Review of inverse probability weighting for dealing with missing dataShaun R Seaman, Ian R WhiteStatistical Methods in Medical Research|September 7, 2016
Relative efficiency of joint-model and full-conditional-specification multiple imputation when conditional models are compatible: The general location modelShaun R Seaman, Rachael A HughesBiometrical Journal. Biometrische Zeitschrift|November 23, 2024
Simulating Data From Marginal Structural Models for a Survival Time OutcomeShaun R Seaman, Ruth H KeoghPageof 175