환경오염물질이 여성 불임에 미치는 영향에 대한 베이지안잠재계층모형 분석

초록

We proposed a latent class model to examine the association between an environmental pollutant (PCB) and female infertility in the LIFE study. We assumed there exist latent risk groups of subjects and linked the PCB exposure and logit model for female infertility through the latent class variable. Also, semicontinuous PCB exposure was analyzed through a mixture of a degenerate distribution at zero and a continuous distribution for nonzero values. We took a Bayesian perspective to inference and used Markov chain Monte Carlo algorithms to obtain posterior estimates of model parameters. We calculated and compared DICs for all comparable models to find the most appropriate model for LIFE study data. As a result, we found that the risk of infertility was affected by latent risk groups of PCB exposure.

키워드

Latent class model; LIFE study; Markov chain Monte Carlo; Metropolis algorithm; semicontinuous data; 마코프체인 몬테카를로; 메트로폴리스 알고리즘; 반연속적인 자료; 잠재계층 변수; LIFE 연구
제목
환경오염물질이 여성 불임에 미치는 영향에 대한 베이지안잠재계층모형 분석
저자
최윤경; 황범석
DOI
10.7465/jkdi.2018.29.5.1257
발행일
2018
저널명
한국데이터정보과학회지
권
29
호
5
페이지
1257 ~ 1268