Power and sample size calculation for paired recurrent events data based on robust nonparametric tests

Pei Fang Su, Chia Hua Chung, Yu Wen Wang, Yunchan Chi, Ying Ju Chang

研究成果: Article同行評審

2 引文 斯高帕斯(Scopus)

摘要

The purpose of this paper is to develop a formula for calculating the required sample size for paired recurrent events data. The developed formula is based on robust non-parametric tests for comparing the marginal mean function of events between paired samples. This calculation can accommodate the associations among a sequence of paired recurrent event times with a specification of correlated gamma frailty variables for a proportional intensity model. We evaluate the performance of the proposed method with comprehensive simulations including the impacts of paired correlations, homogeneous or nonhomogeneous processes, marginal hazard rates, censoring rate, accrual and follow-up times, as well as the sensitivity analysis for the assumption of the frailty distribution. The use of the formula is also demonstrated using a premature infant study from the neonatal intensive care unit of a tertiary center in southern Taiwan.

原文English
頁(從 - 到)1823-1838
頁數16
期刊Statistics in Medicine
36
發行號11
DOIs
出版狀態Published - 2017 5月 20

All Science Journal Classification (ASJC) codes

  • 流行病學
  • 統計與概率

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