Modeling potential time to event data with competing risks

DOI10.1007/s10985-013-9279-zzbMath1322.62316OpenAlexW1979434748WikidataQ30669557 ScholiaQ30669557MaRDI QIDQ746628

Bo Hu, Michael W. Kattan, Liang Li

Publication date: 16 October 2015

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

Full work available at URL: http://europepmc.org/articles/pmc4197853

zbMATH Keywords

causal inferencepotential outcomesprediction modelFine-Gray modelinverse probability censoring weighting (IPCW)landmark analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)

Uses Software

• R
• ElemStatLearn
• cmprsk
• dynpred

Cites Work

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• Correcting for Noncompliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log‐Rank Tests
• Estimating the causal effect of a time‐varying treatment on time‐to‐event using structural nested failure time models
• Longitudinal Data Analysis
• The elements of statistical learning. Data mining, inference, and prediction

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