关键词: Kaplan-Meier estimator bi-variate normal model diagnostic medicine parametric bootstrap summary receiver operating characteristics

Mesh : Biomarkers Breast Neoplasms Diagnostic Tests, Routine Female Humans Kaplan-Meier Estimate Meta-Analysis as Topic Prognosis Survival Analysis

来  源:   DOI:10.1002/sim.9121   PDF(Sci-hub)

Abstract:
In prognosis studies to evaluate association between a continuous biomarker and a survival outcome, investigators often classify subjects into two subclasses of the high- and low-expression groups and apply simple survival analysis techniques of the Kaplan-Meier method and the logrank test. The high- and low-expressions are defined according to whether or not the observation of the biomarker is higher than the cut-off value, which is heterogeneous across studies. The heterogeneous definitions of the cut-off value make it difficult to apply the standard meta-analysis techniques. We propose a method to estimate the concordance index for a survival outcome synthesizing published prognosis studies, in which the Kaplan-Meier estimates for the high- and low-expression groups are reported. We illustrate our proposed method with a real dataset for meta-analysis of prognosis studies evaluating Ki-67 in early breast cancer and evaluate its performance with a simulation study.
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