An analytic method for randomized trials with informative censoring. II

DOI10.1007/BF00985453zbMath0860.62097OpenAlexW4319053925WikidataQ73911963 ScholiaQ73911963MaRDI QIDQ1126016

James M. Robins

Publication date: 23 April 1997

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00985453

zbMATH Keywords

survival analysisinformative censoringdependent censoringsemiparametriccausal inferencetreatment effectrandomized trialweighted log-rank testasymptotically distribution-free testsmean of repeated measures outcometime to disease

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (4)

An analytic method for randomized trials with informative censoring. I ⋮ Marginal Regression Analysis for Semi‐Competing Risks Data Under Dependent Censoring ⋮ Semicompeting risks in aging research: methods, issues and needs ⋮ Identifiability conditions for covariate effects model on survival times under informative censoring

Cites Work

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• Bayesian inference for causal effects: The role of randomization
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• Semiparametric efficiency bounds
• Efficiency Bounds for Semiparametric Regression
• The Asymptotic Variance of Semiparametric Estimators
• Rank Estimation of Treatment Differences Based on Repeated Measurements Subject to Dependent Censoring
• Estimating Exposure Effects by Modelling the Expectation of Exposure Conditional on Confounders

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