Stata 计算 患病率比（prevalence ratio）

*** M-H relative risk

1. cs ill exposed [fweight = freq], by(confounder)

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*** Poisson regression unadjusted

1. poisson ill exposed confounder [fweight = freq], irr

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*** Poisson regression adjusted by chi-squared

1. glm ill exposed confounder [fweight = freq], family(poisson) scale(x2) eform

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3 E) v' Z3 u1 B/ Q. y2 O- o) U*** Poisson regression adjusted by deviance
- x8 O- A4 D# P# J0 k4 T

1. glm ill exposed confounder [fweight = freq], family(poisson) scale(dev) eform irls

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/ v/ m! t/ q5 ~3 M7 {0 f* s*** Poisson regression with robust variance
# J, g# G5 b5 j1 Z" e* O

1. poisson ill exposed confounder [fweight = freq], irr r

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: J5 n1 a7 \* W; Z*** Log-binomial regression

1. glm ill exposed confounder [fweight = freq], family(binomial) link(log) eform

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*** Odds ratio from logistic regression
* D$ m" m' A# u4 o

1. logistic ill exposed confounder [fweight = freq]

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A comparison of two methods for estimating prevalence ratios.
2 D( H6 `! {* V; r3 d( Whttps://www.ncbi.nlm.nih.gov/m/p ... m=/14567763/related
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Poisson regression with or without robust
https://www.statalist.org/forums ... ussion/general/5912

Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio
* h) w  L% O; v+ lhttps://www.statalist.org/forums/filedata/fetch?id=5927