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 Designs[J]. 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 Designs[J]. 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 Designs[J]. 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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