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Sample size calculation in clinical trial using RSample size calculation in clinical trial using R

Authors
Suyeon ParkYeong-Haw KimBang, Hae InPark, Youngho
Issue Date
Mar-2023
Publisher
대한내시경로봇외과학회
Keywords
Sample size; Effect size; Continuous outcome; Categorical outcome
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/67848
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.
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College of Business & Economics > Department of Applied Statistics > 1. Journal Articles

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경영경제대학 (응용통계학과)
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