Informative censoring — a neglected cause of bias in oncology trials
Sign Up to like & getrecommendations! Published in 2020 at "Nature Reviews Clinical Oncology"
DOI: 10.1038/s41571-020-0368-0
Abstract: Informative censoring occurs when progression-free survival is the primary end point of a randomized clinical trial and unequal patient dropout is observed between treatment arms owing to poorer tolerance of experimental treatment. Herein we discuss… read more here.
Keywords: cause bias; informative censoring; censoring neglected; neglected cause ... See more keywords
Nonparametric Inference for Copulas and Measures of Dependence Under Length-Biased Sampling and Informative Censoring
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2019.1611586
Abstract: Abstract Length-biased data are often encountered in cross-sectional surveys and prevalent-cohort studies on disease durations. Under length-biased sampling subjects with longer disease durations have greater chance to be observed. As a result, covariate values linked… read more here.
Keywords: length; informative censoring; estimator; length biased ... See more keywords
Selection bias introduced by informative censoring in studies examining effects of vaccination in infancy.
Sign Up to like & getrecommendations! Published in 2019 at "International journal of epidemiology"
DOI: 10.1093/ije/dyz092
Abstract: BACKGROUND Many studies have examined 'non-specific' vaccine effects on infant mortality: attention has been particularly drawn to diphtheria-tetanus-pertussis (DTP) vaccine, which has been proposed to be associated with an increased mortality risk. Both right and… read more here.
Keywords: studies examining; informative censoring; vaccination; bias ... See more keywords
Inference on latent factor models for informative censoring
Sign Up to like & getrecommendations! Published in 2022 at "Statistical Methods in Medical Research"
DOI: 10.1177/09622802211057290
Abstract: This work discusses the problem of informative censoring in survival studies. A joint model for the time to event and the time to censoring is presented. Their hazard functions include a latent factor in order… read more here.
Keywords: factor models; inference latent; models informative; informative censoring ... See more keywords
Informative Censoring—A Cause of Bias in Estimating COVID-19 Mortality Using Hospital Data
Sign Up to like & getrecommendations! Published in 2023 at "Life"
DOI: 10.3390/life13010210
Abstract: (1) Background: Several retrospective observational analyzed treatment outcomes for COVID-19; (2) Methods: Inverse probability of censoring weighting (IPCW) was applied to correct for bias due to informative censoring in database of hospitalized patients who did… read more here.
Keywords: censoring cause; mortality; cause bias; informative censoring ... See more keywords
Generalized scale-change models for recurrent event processes under informative censoring.
Sign Up to like & getrecommendations! Published in 2020 at "Statistica Sinica"
DOI: 10.5705/ss.202018.0224
Abstract: Two major challenges arise in regression analyses of recurrent event data: first, popular existing models, such as the Cox proportional rates model, may not fully capture the covariate effects on the underlying recurrent event process;… read more here.
Keywords: recurrent event; model; informative censoring; scale change ... See more keywords