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Journal of Chinese Integrative Medicine ›› 2012, Vol. 10 ›› Issue (1): 35-38.doi: 10.3736/jcim20120106

• Methodology • Previous Articles     Next Articles

Estimation of sample size and testing power (Part 4)

Hu Liang-ping(),Bao Xiao-lei,Guan Xue,Zhou Shi-guo   

  1. Consulting Center of Biomedical Statistics, Academy of Military Medical Sciences, Beijing 100850, China
  • Received:2011-11-17 Accepted:2011-11-18 Online:2012-01-20 Published:2018-09-21
  • Contact: Hu Liang-ping E-mail:lphu812@sina.com

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.

Key words: statistics, medical, research design, sample size, testing power, parametric estimation

"

Computed N total
Index Standard deviation Actual power N total
1 20 0.902 16
2 25 0.906 24

"

Computed N total
Actual Power N total
0.807 64
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