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Cited 17 time in webofscience Cited 22 time in scopus
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Tips for troublesome sample-size calculationopen access

Authors
In, JunyongKang, HyunKim, Jong HaeKim, Tae KyunAhn, Eun JinLee, Dong KyuLee, SangseokPark, Jae Hong
Issue Date
Apr-2020
Publisher
KOREAN SOC ANESTHESIOLOGISTS
Keywords
Biostatistics; Effect size; Independent t-test; Power; P value; Sample size
Citation
KOREAN JOURNAL OF ANESTHESIOLOGY, v.73, no.2, pp 114 - 120
Pages
7
Indexed
SCOPUS
ESCI
KCI
Journal Title
KOREAN JOURNAL OF ANESTHESIOLOGY
Volume
73
Number
2
Start Page
114
End Page
120
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/6773
DOI
10.4097/kja.19497
ISSN
2005-6419
2005-7563
Abstract
Properly set sample size is one of the important factors for scientific and persuasive research. The sample size that can guarantee both clinically significant differences and adequate power in the phenomena of interest to the investigator, without causing excessive financial or medical considerations, will always be the object of concern. In this paper, we reviewed the essential factors for sample size calculation. We described the primary endpoints that are the main concern of the study and the basis for calculating sample size, the statistics used to analyze the primary endpoints, type I error and power, the effect size and the rationale. It also included a method of calculating the adjusted sample size considering the dropout rate inevitably occurring during the research. Finally, examples regarding sample size calculation that are appropriately and incorrectly described in the published papers are presented with explanations.
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