Intermediate clinical events, surrogate markers and survival

DOI10.1007/BF00985259zbMath0821.62079OpenAlexW4246929505WikidataQ73911945 ScholiaQ73911945MaRDI QIDQ1895388

Marvin Zelen, Myrto Lefkopoulou

Publication date: 3 October 1995

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00985259

zbMATH Keywords

score testslog rank testsurrogate markerscomparing two survival distributions

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03)

Related Items (2)

Gaussian models for degradation processes. I: Methods for the analysis of biomarker data ⋮ Testing the effect of treatment on survival time with an immediate intermediate event

Cites Work

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• Cox's regression model for counting processes: A large sample study
• A kernel method for incorporating information on disease progression in the analysis of survival
• Some test statistics for use in multistate survival analysis
• Evaluation of Response-Time Data Involving Transient States: An Illustration Using Heart-Transplant Data
• A STOCHASTIC MODEL FOR THE INTERPRETATION OF CLINICAL TRIALS

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