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[分享] Stata拟合Logistic回归模型,如何估算率比(Risk ratio)和率差(risk differences)

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alian 发表于 2018-4-5 15:19:50 | 显示全部楼层 |阅读模式

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9 {* g# k6 G& p% [- \" _# `# YEdward C. Norton等根据Stata的边际命令开发了一个在拟合logit/probit模型后,估计risk ratios和risk differences 的第三方命令:adjrr
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Computing adjusted risk ratios and risk differences in Stata) @! ~# J3 G6 ~* {
摘要:https://www.stata-journal.com/article.html?article=st0306$ N; @' g$ i( A- Q+ I
原文:https://www.stata-journal.com/sjpdf.html?articlenum=st0306. L9 S# i! J* ]. t- g6 D' r1 D! ~

) V2 k/ ?* I: \- v* E. |In this article, we explain how to calculate adjusted risk ratios and risk differences when reporting results from logit, probit, and related nonlinear models. Building on Stata’s margins command, we create a new postestimation command, adjrr, that calculates adjusted risk ratios and adjusted risk differences after running a logit or probit model with a binary, a multinomial, or an ordered outcome.
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  S; w% _8 D8 ?& Tadjrr reports the point estimates, delta-method standard errors, and 95% confidence intervals and can compute these for specific values of the variable of interest. It automatically adjusts for complex survey design as in the fit model. Data from the Medical Expenditure Panel Survey and the National Health and Nutrition Examination Survey are used to illustrate multiple applications of the command.
 楼主| alian 发表于 2018-4-5 15:30:39 | 显示全部楼层
Calculating Absolute Rate Differences and Relative Rate Ratios in SAS/SUDAAN and STATA2 S/ j( w! x& g
http://www.citymatch.org/sites/d ... k%20Ratios_5_20.pdf
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epiman 发表于 2018-5-16 16:02:26 | 显示全部楼层
Methods for estimating adjusted risk ratios
" {% Y0 m, o) l' }( C$ u1 \0 CThe Stata Journal (2009) 9, Number 2, pp. 175–196
$ H- q8 p: c! N# G# A% {( t7 sageconsearch.umn.edu/bitstream/127328/2/sjart_st0162.pdf
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epiman 发表于 2018-5-16 16:30:55 | 显示全部楼层
Estimating risk ratios from observational data in Stata
6 P& ^; L6 W1 R) k5 Khttp://thestatsgeek.com/2015/03/ ... onal-data-in-stata/& ]' g7 e5 I. S+ |2 |. P& H

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