Sensitivity analysis for calibrated inverse probability-of-censoring weighted estimators under non-ignorable dropout
Sign Up to like & getrecommendations! Published in 2022 at "Statistical Methods in Medical Research"
DOI: 10.1177/09622802221090763
Abstract: Inverse probability of censoring weighting is a popular approach to handling dropout in longitudinal studies. However, inverse probability-of-censoring weighted estimators (IPCWEs) can be inefficient and unstable if the weights are estimated by maximum likelihood. To… read more here.
Keywords: probability censoring; sensitivity; sensitivity analysis; ignorable dropout ... See more keywords