A novel sample size formula for the weighted log-rank test under the proportional hazards cure model

Xiaoping Xiong, Jianrong Wu

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

The treatment of cancer has progressed dramatically in recent decades, such that it is no longer uncommon to see a cure or log-term survival in a significant proportion of patients with various types of cancer. To adequately account for the cure fraction when designing clinical trials, the cure models should be used. In this article, a sample size formula for the weighted log-rank test is derived under the fixed alternative hypothesis for the proportional hazards cure models. Simulation showed that the proposed sample size formula provides an accurate estimation of sample size for designing clinical trials under the proportional hazards cure models.

Original languageEnglish
Pages (from-to)87-94
Number of pages8
JournalPharmaceutical Statistics
Volume16
Issue number1
DOIs
StatePublished - Jan 1 2017

Bibliographical note

Funding Information:
This work was supported in part by National Cancer Institute support grant CA21765 and ALSAC.

Publisher Copyright:
Copyright © 2016 John Wiley & Sons, Ltd.

Keywords

  • clinical trial
  • cure model
  • log-rank test
  • proportional hazards model
  • sample size calculation
  • survival analysis

ASJC Scopus subject areas

  • Statistics and Probability
  • Pharmacology
  • Pharmacology (medical)

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