title: Estimation of sample size and testing power (Part 4).
abstract: Sample size estimation is necessary for any experimental or survey research. An appropriate estimation of sample size based on known information and statistical knowledge is of great significance. This article introduces methods of sample size estimation of difference test for data with the design of one factor with two levels, including sample size estimation formulas and realization based on the formulas and the POWER procedure of SAS software for quantitative data and qualitative data with the design of one factor with two levels. In addition, this article presents examples for analysis, which will play a leading role for researchers to implement the repetition principle during the research design phase.
authors.affiliation: Academy of Military Medical Sciences, Beijing, China. lphu812@sina.com
authors.forename: Liang-ping
authors.initials: LP
authors.lastname: Hu
authors.forename: Xiao-lei
authors.initials: XL
authors.lastname: Bao
authors.forename: Xue
authors.initials: X
authors.lastname: Guan
authors.forename: Shi-guo
authors.initials: SG
authors.lastname: Zhou
mesh_terms: D001699:Biometry; D015233:Models, Statistical; D012107:Research Design; D018401:Sample Size; D012984:Software