log-binomial模型估计的患病比及其应用

叶荣; 郜艳晖; 杨翌; 陈跃

文章摘要

叶荣,郜艳晖,杨翌,陈跃.log-binomial模型估计的患病比及其应用[J].中华流行病学杂志,2010,31(5):576-578

log-binomial模型估计的患病比及其应用

Using log-binomial model for estimating the prevalence ratio

收稿日期:2009-10-30 出版日期:2014-09-24

DOI：10.3760/cma.j.issn.0254-6450.2010.05.024

中文关键词: 现患比 Log-binomial模型 COPY方法

英文关键词: Prevalence ratio Log-binomial model COPY algorithm

基金项目:

作者	单位	E-mail
叶荣	广东药学院公共卫生学院流行病学与卫生统计学系, 广州 510310
郜艳晖	广东药学院公共卫生学院流行病学与卫生统计学系, 广州 510310	gao_yanhui@163.Com
杨翌	广东药学院公共卫生学院流行病学与卫生统计学系, 广州 510310
陈跃	加拿大渥太华大学流行病学与社会医学系

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中文摘要:

探讨有和无连续协变量时的log-binomial模型估计患病比的统计方法及其应用。文中使用禁烟立法态度与吸烟关联的研究实例，比较log-binomial模型估计的现患比(职)与logistic回归模型估计的优势比(OR)。当模型中无连续协变量时，采用最大似然估计拟合log-binomial模型；当因含有连续协变量导致模型不收敛时，则采用COPY方法估计PR。分别估计男、女禁烟立法态度与吸烟的关联。由于女性吸烟率低，用PR与OR所估计的关联结果相似。而男性吸烟率较高，DR值明显大于咫。当年龄作为连续协变量纳入模型时，导致log-binomial模型不收敛，采用COPY方法解决此问题。所有分析均在SAS软件中实现。结论：当患病率较高时，PR比OR更好地测量了暴露与疾病的关联。文中给出log—binomial回归模型和COPY方法估计PR的SAS程序。

英文摘要:

To estimate the prevalence ratios,using a log-binomial model with or without continuous covariates.Prevalence ratios for individuals'attitude towards smoking-ban legislation associated with smoking status,estimated by using a log-binomial model were compared with odds ratios estimated by logistic regression model.In the log-binomial modeling,maximum likelihood method was used when there were no continuous covariates and COPY approach was used if the model did not converge,for example due to the existence of continuous covariates.We examined the association between individuals'attitude towards smoking-ban legislation and smoking status in men and women.Prevalence ratio and odds ratio estimation provided similar results for the association in women since smoking was not common.In men however,the odds ratio estimates were markedly larger than the prevalence ratios due to a higher prevalence of outcome.The log-binomial model did not converge when age was included as a continuous covariate and COPY method was used to deal with the situation.All analysis was performed by SAS.Prevalence ratio seemed to better measure the association than odds ratio when prevalence is high.SAS programs were provided to calculate the prevalence ratios with or without continuous covariates in the log-binomial regression analysis.

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