Comparison of failure probabilities in the presence of competing risks

DOI10.1080/00949650701473791zbMath1149.62083OpenAlexW2123089154MaRDI QIDQ3543762

Ruta Bajorunaite, John P. Klein

Publication date: 4 December 2008

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650701473791

zbMATH Keywords

competing riskscumulative incidence function\(K\)-sample tests

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Testing in survival analysis and censored data (62N03)

Related Items (5)

Statistical inference methods for cumulative incidence function curves at a fixed point in time ⋮ Bootstrap- and permutation-based inference for the Mann-Whitney effect for right-censored and tied data ⋮ Bootstrapping Aalen-Johansen processes for competing risks: handicaps, solutions, and limitations ⋮ Flexible simulation of competing risks data following prespecified subdistribution hazards ⋮ Two-sample tests of the equality of two cumulative incidence functions

Cites Work

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• Survival analysis. Techniques for censored and truncated data.
• Generalized nonparametric test procedures for comparing multiple cause-specific hazard rates
• A class of tests for the equality of k cause-specific hazard rates in a competing risks model
• Generalised linear models for correlated pseudo-observations, with applications to multi-state models
• Analysing Competing Risks Data With Transformation Models
• Competing risks as a multi-state model
• Statistical models based on counting processes

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