An application of changepoint methods in studying the effect of age on survival in breast cancer.

DOI10.1016/S0167-9473(98)00096-6zbMath1042.62618OpenAlexW2009719437MaRDI QIDQ1285802

John O'Quigley, Cécile Contal

Publication date: 28 April 1999

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

Full work available at URL: https://doi.org/10.1016/s0167-9473(98)00096-6

zbMATH Keywords

Brownian bridgeCensored dataSurvival analysisBreast cancerContinuous covariateCutpoint

Mathematics Subject Classification ID

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

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Cites Work

• Unnamed Item
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• A Non-Parametric Approach to the Change-Point Problem
• Evaluating the effect of optimized cutoff values in the assessment of prognostic factors
• Rank tests for changepoint problems
• Maximally Selected Chi Square Statistics