Evaluation of estimation of prevalence ratio using bayesian log-binomial regression model
10.3760/cma.j.issn.0254-6450.2017.03.025
- VernacularTitle:贝叶斯log-binomial回归方法评估患病率比的研究
- Author:
Wenlong GAO
1
;
He LIN
;
Xiaoning LIU
;
Xiaowei REN
;
Juansheng LI
;
Xiping SHEN
;
Suling ZHU
Author Information
1. 730000,兰州大学公共卫生学院流行病与卫生统计研究所
- Keywords:
Bayes theorem;
Regression analysis;
Models,statistical;
Prevalence ratio;
Log-binomial regression
- From:Chinese Journal of Epidemiology
2017;38(3):400-405
- CountryChina
- Language:Chinese
-
Abstract:
To evaluate the estimation of prevalence ratio (PR) by using bayesian log-binomial regression model and its application,we estimated the PR of medical care-seeking prevalence to caregivers' recognition of risk signs of diarrhea in their infants by using bayesian log-binomial regression model in Openbugs software.The results showed that caregivers' recognition of infant's risk signs of diarrhea was associated significantly with a 13％ increase of medical care-seeking.Meanwhile,we compared the differences in PR's point estimation and its interval estimation of medical care-seeking prevalence to caregivers' recognition of risk signs of diarrhea and convergence of three models (model 1:not adjusting for the covariates;model 2:adjusting for duration of caregivers' education,model 3:adjusting for distance between village and township and child month-age based on model 2) between bayesian log-binomial regression model and conventional log-binomial regression model.The results showed that all three bayesian log-binomial regression models were convergence and the estimated PRs were 1.130(95％CI:1.005-1.265),1.128(95％CI:1.001-1.264)and 1.132(95％CI:1.004-1.267),respectively.Conventional log-binomial regression model 1 and model 2 were convergence and their PRs were 1.130(95％ CI:1.055-1.206) and 1.126(95％ CI:1.051-1.203),respectively,but the model 3 was misconvergence,so COPY method was used to estimate PR,which was 1.125 (95％CI:1.051-1.200).In addition,the point estimation and interval estimation of PRs from three bayesian log-binomial regression models differed slightly from those of PRs from conventional log-binomial regression model,but they had a good consistency in estimating PR.Therefore,bayesian log-binomial regression model can effectively estimate PR with less misconvergence and have more advantages in application compared with conventional log-binomial regression model.
