Robust prediction of the cumulative incidence function under non‐proportional subdistribution hazards

DOI10.1002/cjs.11280zbMath1352.62160OpenAlexW2302621853MaRDI QIDQ5507350

Joseph P. Costantino, Chung-Chou H. Chang, Gong Tang, Qing Liu

Publication date: 19 December 2016

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.11280

zbMATH Keywords

competing riskscumulative incidence functioninverse probability censoring weightBrier scorenon-proportionalityprediction models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Uses Software

• cmprsk

Cites Work

• Unnamed Item
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• Predicting cumulative incidence probability by direct binomial regression
• Misspecified proportional hazard models
• Regression modeling of competing crude failure probabilities
• A Proportional Hazards Model for the Subdistribution of a Competing Risk
• Prediction of Cumulative Incidence Function under the Proportional Hazards Model
• Dynamic Prediction by Landmarking in Event History Analysis
• Estimating average regression effect under non-proportional hazards
• Regression Modeling of Competing Risks Data Based on Pseudovalues of the Cumulative Incidence Function
• Statistical models based on counting processes

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