Articles with "probability censoring" as a keyword



Photo by journaway from unsplash

A Per-Protocol Analysis using Inverse Probability of Censoring Weights in a Randomized Trial of Initial PI versus NNRTI Regimens in Children.

Sign Up to like & get
recommendations!
Published in 2023 at "American journal of epidemiology"

DOI: 10.1093/aje/kwad054

Abstract: Protocol adherence may influence measured treatment effectiveness in randomized controlled trials. Using data from a multicenter trial from Europe and North and South America in 2002-2009 of children with HIV-1 randomized to initial protease inhibitor… read more here.

Keywords: per protocol; probability censoring; nnrti regimens; inverse probability ... See more keywords
Photo by schluditsch from unsplash

Adjustment for treatment changes in epilepsy trials: A comparison of causal methods for time-to-event outcomes

Sign Up to like & get
recommendations!
Published in 2019 at "Statistical Methods in Medical Research"

DOI: 10.1177/0962280217735560

Abstract: Background When trials are subject to departures from randomised treatment, simple statistical methods that aim to estimate treatment efficacy, such as per protocol or as treated analyses, typically introduce selection bias. More appropriate methods to… read more here.

Keywords: inverse probability; treatment; probability censoring; time ... See more keywords
Photo from wikipedia

Sensitivity analysis for calibrated inverse probability-of-censoring weighted estimators under non-ignorable dropout

Sign Up to like & get
recommendations!
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