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[分享] Stata 计算 患病率比(prevalence ratio)

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epiman 发表于 2018-10-6 23:04:58 | 显示全部楼层 |阅读模式

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*** M-H relative risk4 h$ e' Z2 N/ t- S% B: q" d. l8 [
  1. cs ill exposed [fweight = freq], by(confounder)
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*** Poisson regression unadjusted
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  1. poisson ill exposed confounder [fweight = freq], irr
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*** Poisson regression adjusted by chi-squared5 `7 F$ G; [; X2 R0 R/ J
  1. glm ill exposed confounder [fweight = freq], family(poisson) scale(x2) eform
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" G$ I5 y1 M3 L) w2 @*** Poisson regression adjusted by deviance
# z  ]( y- b9 W$ z: u1 A
  1. glm ill exposed confounder [fweight = freq], family(poisson) scale(dev) eform irls
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8 O# _" n5 i6 C9 N5 ?*** Poisson regression with robust variance
7 l( \5 w) z0 E% G3 p3 |
  1. poisson ill exposed confounder [fweight = freq], irr r
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3 n- I) k# z5 t% q7 b( m*** Log-binomial regression; U; O! V) l) j% H
  1. glm ill exposed confounder [fweight = freq], family(binomial) link(log) eform
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*** Odds ratio from logistic regression1 \. g1 ]% s+ q& b/ Z! m# R
  1. logistic ill exposed confounder [fweight = freq]
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" @0 Y8 \7 l0 M1 e' H9 UA comparison of two methods for estimating prevalence ratios.
  C/ u1 [5 f. M+ u6 Thttps://www.ncbi.nlm.nih.gov/m/p ... m=/14567763/related
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Poisson regression with or without robust
* U+ D9 R* u- Y& Uhttps://www.statalist.org/forums ... ussion/general/59124 e5 d1 F  K, }* m% {

1 S# a- S/ {/ S- L" v, yAlternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio
6 B6 d$ h7 b8 \7 [8 khttps://www.statalist.org/forums/filedata/fetch?id=5927% r5 H. K; M* U+ I- {' P

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