2 citations · 5 across the 4 of their papers we have counts for
4 papers
Multiple imputation for longitudinal data: A tutorial
Rushani Wijesuriya, Margarita Moreno-Betancur, John B Carlin +3
Longitudinal studies are frequently used in medical research and involve collecting repeated measures on individuals over time. Observations from the same individual are invariably…
Estimation of treatment policy estimands for continuous outcomes using off treatment sequential multiple imputation
Thomas Drury, Juan J Abellan, Nicky Best +1
The estimands framework outlined in ICH E9 (R1) describes the components needed to precisely define the effects to be estimated in clinical trials, which includes how post-baseline…
Use of multiple covariates in assessing treatment-effect modifiers: A methodological review of individual participant data meta-analyses
Peter J Godolphin, Nadine Marlin, Chantelle Cornett +4
Individual participant data (IPD) meta-analyses of randomised trials are considered a reliable way to assess participant-level treatment effect modifiers but may not make the best…
Propensity score analysis with partially observed confounders: how should multiple imputation be used?
Clemence Leyrat, Shaun R. Seaman, Ian R. White +6
Inverse probability of treatment weighting (IPTW) is a popular propensity score (PS)-based approach to estimate causal effects in observational studies at risk of confounding bias.…