Determining cutoff values of prognostic factors in survival data with competing risks

DOI10.1007/s00180-015-0582-xzbMath1342.65069OpenAlexW2070840958MaRDI QIDQ736600

Seonwoo Kim, Sook-young Woo, Jinheum Kim

Publication date: 4 August 2016

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-015-0582-x

zbMATH Keywords

Brownian bridgelinear rank statisticcompeting riskcutoff valueGray's statisticprognostic factor

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Evaluating the effect of optimized cutoff values in the assessment of prognostic factors
• A class of k-sample tests for comparing the cumulative incidence of a competing risk
• An application of changepoint methods in studying the effect of age on survival in breast cancer.
• Nonparametric Estimation from Incomplete Observations
• Competing Risks
• Generalized Maximally Selected Statistics
• Maximally Selected Chi Square Statistics
• Partial likelihood
• Simulation and the Monte Carlo Method