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[How to scientifically estimate sample size in physiological research].
Liu, Yi-Song; Guo, Chun-Xue; Hu, Wan; Lv, Chen-Long; Hu, Liang-Ping.
Affiliation
  • Liu YS; Consulting Center of Biomedical Statistics, Academy of Military Medical Sciences, Beijing 100850, China.
  • Guo CX; Consulting Center of Biomedical Statistics, Academy of Military Medical Sciences, Beijing 100850, China.
  • Hu W; Consulting Center of Biomedical Statistics, Academy of Military Medical Sciences, Beijing 100850, China.
  • Lv CL; Consulting Center of Biomedical Statistics, Academy of Military Medical Sciences, Beijing 100850, China.
  • Hu LP; Consulting Center of Biomedical Statistics, Academy of Military Medical Sciences, Beijing 100850, China.
Zhongguo Ying Yong Sheng Li Xue Za Zhi ; 32(3): 284-288, 2016 Mar 08.
Article in Zh | MEDLINE | ID: mdl-29931893
ABSTRACT

OBJECTIVE:

To bring about physiological researchers' attention of the importance of sample size estimation.

METHODS:

The significance as well as the current problems of sample size estimation were illustrated and the commonly-used sample size estimation methods were introduced.

RESULTS:

The basic concepts and necessary premises of sample size estimation were stated. The estimation processes and results under two different circumstances were elaborated in detail via examples.

CONCLUSIONS:

To attain the proper estimated sample sizes, the computation must satisfy the necessary premises which included the appropriate statistical analysis methods to be used.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Physiology / Research Design / Sample Size Limits: Humans Language: Zh Journal: Zhongguo Ying Yong Sheng Li Xue Za Zhi Journal subject: FISIOLOGIA Year: 2016 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Physiology / Research Design / Sample Size Limits: Humans Language: Zh Journal: Zhongguo Ying Yong Sheng Li Xue Za Zhi Journal subject: FISIOLOGIA Year: 2016 Document type: Article Affiliation country:
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