A simple computerized program for the calculation of the required sample size necessary to ensure statistical accuracy in medical experiments.
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.
Nutahara
H
H
Department of Medical Information Science, Faculty of Medicine, Kyushu University, Fukuoka 812-8582, Japan.
Hanada
E
E
Kinukawa
N
N
Kenjo
Y
Y
Antoku
Y
Y
Akazawa
K
K
Nose
Y
Y
D003198:Computer Simulation; D008432:Mathematical Computing; D015233:Models, Statistical; D009010:Monte Carlo Method; D012106:Research; D012984:Software