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   Articles with "informative censoring" as a keyword



Comparing IPCW Models to Adjust for Informative Censoring During COVID‐19 Using Data From the Clinical Practice Research Datalink

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recommendations! Published in 2025 at "Pharmacoepidemiology and Drug Safety"

DOI: 10.1002/pds.70235

Abstract: Observational comparative studies can be analyzed using intention‐to‐treat (ITT) (i.e., initial‐treatment) or as‐treated (AT) (i.e., per‐protocol) approaches to estimate distinct treatment effects. Unfortunately, AT analyses have an increased vulnerability to selection bias from informative censoring.… read more here.

Keywords: ipcw models; adjust informative; informative censoring; comparing ipcw ... See more keywords

Informative censoring — a neglected cause of bias in oncology trials

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recommendations! 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

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recommendations! 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.

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recommendations! 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

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recommendations! 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

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recommendations! 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.

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recommendations! 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