A simple computerized program for the calculation of the required sample size necessary to ensure statistical accuracy in medical experiments

Hitomi Nutahara; Eisuke Hanada; Naoko Kinukawa; Yuko Kenjo; Yasuaki Antoku; Kouhei Akazawa; Yoshiaki Nose

doi:10.1016/S0169-2607(00)00122-X

A simple computerized program for the calculation of the required sample size necessary to ensure statistical accuracy in medical experiments

Hitomi Nutahara, Eisuke Hanada, Naoko Kinukawa, Yuko Kenjo, Yasuaki Antoku, Kouhei Akazawa, Yoshiaki Nose

Social Medicine

Research output: Contribution to journal › Article › peer-review

Abstract

We developed a sample size estimation program (SSEP) with which medical researchers can easily estimate the appropriate sample size for a specific significance level and statistical power using their favorite WWW browsers. SSEP can estimate the sample sizes for six statistical methods by Monte-Carlo simulation: Student's t-test, Welch's t-test, Analysis of variance, Wilcoxon's rank sum test, Kruskal-Wallis test, and the Cochran-Armitage test for linear trends. The SSEP simulation programs were created using the SAS software macro language. Medical researchers can interactively use this program and determine reliable sample sizes when planning new prospective clinical studies and animal experiments.

Original language	English
Pages (from-to)	133-139
Number of pages	7
Journal	Computer Methods and Programs in Biomedicine
Volume	65
Issue number	2
DOIs	https://doi.org/10.1016/S0169-2607(00)00122-X
Publication status	Published - 2001

All Science Journal Classification (ASJC) codes

Software
Computer Science Applications
Health Informatics

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10.1016/S0169-2607(00)00122-X

Cite this

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title = "A simple computerized program for the calculation of the required sample size necessary to ensure statistical accuracy in medical experiments",

abstract = "We developed a sample size estimation program (SSEP) with which medical researchers can easily estimate the appropriate sample size for a specific significance level and statistical power using their favorite WWW browsers. SSEP can estimate the sample sizes for six statistical methods by Monte-Carlo simulation: Student's t-test, Welch's t-test, Analysis of variance, Wilcoxon's rank sum test, Kruskal-Wallis test, and the Cochran-Armitage test for linear trends. The SSEP simulation programs were created using the SAS software macro language. Medical researchers can interactively use this program and determine reliable sample sizes when planning new prospective clinical studies and animal experiments.",

author = "Hitomi Nutahara and Eisuke Hanada and Naoko Kinukawa and Yuko Kenjo and Yasuaki Antoku and Kouhei Akazawa and Yoshiaki Nose",

note = "Funding Information: This study was supported in part by a grant-in-aid from the Niigata University Science Foundation, Niigata, Japan.",

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AU - Nutahara, Hitomi

AU - Hanada, Eisuke

AU - Kinukawa, Naoko

AU - Kenjo, Yuko

AU - Antoku, Yasuaki

AU - Akazawa, Kouhei

AU - Nose, Yoshiaki

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A simple computerized program for the calculation of the required sample size necessary to ensure statistical accuracy in medical experiments

Abstract

All Science Journal Classification (ASJC) codes

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