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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: f. ^$ y) M0 Q# h9 I*** Poisson regression unadjusted
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1. poisson ill exposed confounder [fweight = freq], irr

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*** Poisson regression adjusted by chi-squared
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1. glm ill exposed confounder [fweight = freq], family(poisson) scale(x2) eform

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*** Poisson regression adjusted by deviance

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

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*** Poisson regression with robust variance
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1. poisson ill exposed confounder [fweight = freq], irr r

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" {6 A: a: d6 F" G9 M7 J+ I*** Log-binomial regression

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

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3 k0 ?6 c8 z  F1 R*** Odds ratio from logistic regression

1. logistic ill exposed confounder [fweight = freq]

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A comparison of two methods for estimating prevalence ratios.
: K# F. z/ M3 M/ H- Ohttps://www.ncbi.nlm.nih.gov/m/p ... m=/14567763/related
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Poisson regression with or without robust
5 s% b; r7 N& u9 r% Zhttps://www.statalist.org/forums ... ussion/general/5912

% j, Y. \" e( l0 R' i% c, U- ~Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio
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