Nonparametric estimation of marked survival data in the presence of dependent censoring

DOI10.1002/SIM.9710zbMATH Open1545.6254MaRDI QIDQ6625736

Michael G. Hudgens, Busola Sanusi, Jianwen Cai

Publication date: 28 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

dependent censoringnonparametric estimationmark variableinverse probability censoring weights

Mathematics Subject Classification ID

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

Cites Work

• Title not available (Why is that?)
• The strong law under random censorship
• The 2-sample problem for failure rates depending on a continuous mark: an application to vaccine efficacy
• Frank's family of bivariate distributions
• Nonparametric estimation of the joint distribution of survival time and mark variables
• Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
• Correcting for Noncompliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log‐Rank Tests
• Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
• Statistical models based on counting processes
• A hybrid approach for the stratified mark-specific proportional hazards model with missing covariates and missing marks, with application to vaccine efficacy trials

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