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

Research output: Contribution to journalArticle

1 Citation (Scopus)

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 languageEnglish
Pages (from-to)133-139
Number of pages7
JournalComputer Methods and Programs in Biomedicine
Volume65
Issue number2
DOIs
Publication statusPublished - 2001

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Health Informatics

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