The Theory and Applications of Generalized Logistic Regression for Risk Analysis of Fuzzy States(7) —Estimating Sample Size and Statistical Power in Case Control Designs

LIU Yun-yuan; Liu Jia

doi:10.11847/zgggws2001-17-02-13

LIU Yun-yuan, Liu Jia, . The Theory and Applications of Generalized Logistic Regression for Risk Analysis of Fuzzy States(7) —Estimating Sample Size and Statistical Power in Case Control DesignsJ. Chinese Journal of Public Health, 2001, 17(2): 114-115. DOI: 10.11847/zgggws2001-17-02-13

Citation:

LIU Yun-yuan, Liu Jia, . The Theory and Applications of Generalized Logistic Regression for Risk Analysis of Fuzzy States(7) —Estimating Sample Size and Statistical Power in Case Control DesignsJ. Chinese Journal of Public Health, 2001, 17(2): 114-115. DOI: 10.11847/zgggws2001-17-02-13

Citation:

LIU Yun-yuan, Liu Jia, . The Theory and Applications of Generalized Logistic Regression for Risk Analysis of Fuzzy States(7) —Estimating Sample Size and Statistical Power in Case Control DesignsJ. Chinese Journal of Public Health, 2001, 17(2): 114-115. DOI: 10.11847/zgggws2001-17-02-13

The Theory and Applications of Generalized Logistic Regression for Risk Analysis of Fuzzy States(7) —Estimating Sample Size and Statistical Power in Case Control Designs

LIU Yun-yuan,
Liu Jia,

Abstract

Abstract

In this papper,some methods estimating sample size and statistical power in non-matched and matched case-control designs,are described.

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The Theory and Applications of Generalized Logistic Regression for Risk Analysis of Fuzzy States(7) —Estimating Sample Size and Statistical Power in Case Control Designs

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