Journal of Biometrics & Biostatistics

Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC 27710, USA

Publications

• Research Article   
  On Power Calculation Based on Effect Size in Clinical Research
  Author(s): Yinuo Zhang* and Shein-Chung Chow
  
  Power analysis for sample size calculation (power calculation) plays an important role in clinical research to guarantee that we have sufficient power for detecting a clinically meaningful difference (treatment effect) at a pre-specified level of significance. In practice, however, there may be little or no information regarding the test treatment under study available. In this case, it is suggested that power calculation for detecting an anticipated effect size adjusted for standard deviation be performed, reducing a two-parameter problem into a single parameter problem by taking both mean response and variability into consideration. This study systematically analyzes estimating sample sizes across diverse endpoints, including relative/absolute change, risk metrics, exponential and proportional hazards models. Findings underscore the distinct nature of these m.. Read More»
  DOI: 10.37421/2155-6180.2024.15.221

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