Two-sample tests of the equality of two cumulative incidence functions

DOI10.1016/j.csda.2006.05.011zbMath1162.62422OpenAlexW2092320195MaRDI QIDQ1020082

Ruta Bajorunaite, John P. Klein

Publication date: 29 May 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.05.011

zbMATH Keywords

competing riskscumulative incidence functiontwo-sample tests

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Testing in survival analysis and censored data (62N03)

Related Items (9)

Nonparametric inference for the cumulative incidence function of a competing risk, with an emphasis on confidence bands in the presence of left-truncation ⋮ Statistical inference methods for cumulative incidence function curves at a fixed point in time ⋮ Cramér-von Mises and characteristic function tests for the two and \(k\)-sample problems with dependent data ⋮ Comparison of failure probabilities in the presence of competing risks ⋮ Bootstrapping Aalen-Johansen processes for competing risks: handicaps, solutions, and limitations ⋮ Editorial: Computational statistics within clinical research ⋮ The wild bootstrap for multivariate Nelson-Aalen estimators ⋮ A test for the two-sample problem based on empirical characteristic functions ⋮ Weak Convergence of the Wild Bootstrap for the Aalen-Johansen Estimator of the Cumulative Incidence Function of a Competing Risk

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• A nonidentifiability aspect of the problem of competing risks.
• The Analysis of Failure Times in the Presence of Competing Risks
• Competing risks as a multi-state model
• Note on Extreme Values, Competing Risks and Semi-Markov Processes

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