Sample size calculation in clinical trial using R-Reference-Cited by-同舟云学术

Sample size calculation in clinical trial using R

Published:2023-03-15 Issue:1 Volume:26 Page:9-18
ISSN:2234-778X
Container-title:Journal of Minimally Invasive Surgery
language:en
Short-container-title:J Minim Invasive Surg

Author:

Park Suyeon¹²³^ORCID,Kim Yeong-Haw³^ORCID,Bang Hae In⁴^ORCID,Park Youngho⁵^ORCID

Affiliation:

1. Department of Biostatistics, Academic Research Office, Soonchunhyang University Seoul Hospital, Seoul, Korea

2. International Development and Cooperation, Graduate School of Multidisciplinary Studies Toward Future, Soonchunhyang University, Asan, Korea

3. Department of Applied Statistics, Chung-Ang University, Seoul, Korea

4. Department of Laboratory Medicine, Soonchunhyang University Seoul Hospital, Seoul, Korea

5. Department of Big Data Application, College of Smart Interdisciplinary Engineering, Hannam University, Daejeon, Korea

Funder

Soonchunhyang University

Publisher

The Korean Society of Endo-Laparoscopic & Robotic Surgery

Subject

Building and Construction

Link

http://pdf.medrang.co.kr/JMIS/2023/026/jmis-26-1-9.pdf

Reference20 articles.

1. Statistics and ethics in medical research: III How large a sample?

2. Statistical Power, Sample Size, and Their Reporting in Randomized Controlled Trials

3. Foulkes M. Study designs, objectives, and hypotheses [Internet]. Johns Hopkins Bloomberg School of Public Health; 2008 [cited 2023 Feb 20]. Available from: https://docplayer.net/38128249-Study-designs-objectives-and-hypotheses-mary-foulkes-phd-johns-hopkins-university.html.

4. Bose M, Dey A. Optimal crossover designs. World Scientific; 2009.

5. Crossover experiments

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