title: Estimation of sample size and testing power (part 7).
abstract: Two-factor factorial design refers to the research involving two experimental factors and the number of the experimental groups equals to the product of the levels of the two experimental factors. In other words, it is the complete combination of the levels of the two experimental factors. The research subjects are randomly divided into the experimental groups. The two experimental factors are performed on the subjects at the same time, meaning that there is no order. The two experimental factors are equal during statistical analysis, that is to say, there is no primary or secondary distinction, nor nested relation. This article introduces estimation of sample size and testing power of quantitative data with two-factor factorial design.
authors.affiliation: Consulting Center of Biomedical Statistics, Academy of Military Medical Sciences, Beijing 100850, 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
mesh_terms: D005069:Evaluation Studies as Topic; D015233:Models, Statistical; D012107:Research Design; D018401:Sample Size