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Assessment of effect size and power for survival analysis through a binary surrogate endpoint in clinical trials

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Publication:6625555
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DOI10.1002/sim.7981zbMath1545.62194MaRDI QIDQ6625555

Gong Tang, Stewart J. Anderson, Priya Rastogi, Judah Abberbock

Publication date: 28 October 2024

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




zbMATH Keywords

survivalsample sizepoweroncologyneoadjuvantpathological complete response


Mathematics Subject Classification ID

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


Cites Work

  • Unnamed Item
  • Sample-Size Formula for the Proportional-Hazards Regression Model
  • Asymptotic Results for Exponential Mixture Models with Long-Term Survivors
  • Estimation in a Cox Proportional Hazards Cure Model


Related Items (1)

Design of phase III trials with long-term survival outcomes based on short-term binary results





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