Power Analysis and Sample Size Determination in Log-Rank (Lakatos) Test

Özlem Kaymaz, Mustafa Agah Tekä°ndal, Can ATEÅž, AyÅŸe Canan, AyÅŸe Canan and GÃœVERCÄ°N Yazici
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Özlem Kaymaz: Department of Statistics, Ankara University,Ankara, Turkey
Mustafa Agah Tekä°ndal: Department of Biostatistics, Selçuk University,Konya, Turkey
Can ATEŞ: Department of Biostatistics, Van Yüzüncü Yil University, Turkey
Ayşe Canan: Department of Biostatistics, Van Yüzüncü Yil University, Turkey
Ayşe Canan: Department of Biostatistics, Van Yüzüncü Yil University, Turkey
GÜVERCİN Yazici: Department of Biostatistics, İstanbul Aydın University, Turkey

Biostatistics and Biometrics Open Access Journal, 2018, vol. 6, issue 1, 3-6

Abstract: In this study, it was aimed to investigate the method of calculating the sample size for the Log-rank test developed and proposed by Lakatos (1988) in different scenarios. To that end, Type I error was accepted as 0.05 and the constant hazard rate ()Ï was accepted as 0.50. The test’s power in different sample sizes was calculated using the Kaplan-Meier method. Through the Monte Carlo simulation method, each situation was repeated 10,000 times, and the results were examined. According to the simulation results the test’s power increased while the total time, sample size and incidence rate increased. When the total incidence rate was 65%, the test’s power reaches up to 80%.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:6:y:2018:i:1:p:3-6

DOI: 10.19080/BBOAJ.2018.06.555677

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