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Sample size calculation in clinical trial using Ropen access

Authors
Park, SuyeonKim, Yeong-HawBang, Hae InPark, Youngho
Issue Date
Mar-2023
Keywords
Categorical outcome; Continuous outcome; Effect size; Sample size
Citation
Journal of minimally invasive surgery, v.26, no.1, pp 9 - 18
Pages
10
Journal Title
Journal of minimally invasive surgery
Volume
26
Number
1
Start Page
9
End Page
18
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/73242
DOI
10.7602/jmis.2023.26.1.9
ISSN
2234-778X
2234-5248
Abstract
Since the era of evidence-based medicine, it has become a matter of course to use statistics to create objective evidence in clinical research. As an extension of this, it has become essential in clinical research to calculate the correct sample size to demonstrate a clinically significant difference before starting the study. Also, because sample size calculation methods vary from study design to study design, there is no formula for sample size calculation that applies to all designs. It is very important for us to understand this. In this review, each sample size calculation method suitable for various study designs was introduced using the R program (R Foundation for Statistical Computing). In order for clinical researchers to directly utilize it according to future research, we presented practice codes, output results, and interpretation of results for each situation. Copyright © The Korean Society of Endo-Laparoscopic & Robotic Surgery.
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경영경제대학 (응용통계학과)
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