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

Xiaoping Xiong; Jianrong Wu

doi:10.1002/pst.1790

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

Xiaoping Xiong
, Jianrong Wu

Internal Medicine

Producción científica: Article › revisión exhaustiva

19 Citas (Scopus)

Resumen

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.

Idioma original	English
Páginas (desde-hasta)	87-94
Número de páginas	8
Publicación	Pharmaceutical Statistics
Volumen	16
N.º	1
DOI	https://doi.org/10.1002/pst.1790
Estado	Published - ene 1 2017

Nota bibliográfica

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

Financiación

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

Financiadores	Número del financiador
National Childhood Cancer Registry – National Cancer Institute	P30CA021765
American Lebanese Syrian Associated Charities

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Good health and well being

ASJC Scopus subject areas

Statistics and Probability
Pharmacology
Pharmacology (medical)

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10.1002/pst.1790

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

Resumen

Nota bibliográfica

Financiación

ODS de las Naciones Unidas

ASJC Scopus subject areas

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