Modeling Exposure Intensity and Susceptibility-Latency Effect from Retrospective Cohort Data - Application to Lung Cancer Mortality in Blackfoot Disease Endemic Area in Taiwan

WEN-CHUNG LEELin R.-S.2020-11-192020-11-1919960323-3847https://www.scopus.com/inward/record.uri?eid=2-s2.0-0030298759&doi=10.1002%2fbimj.4710380710&partnerID=40&md5=cb3c52360308df4a87ec67e782124d96https://scholars.lib.ntu.edu.tw/handle/123456789/521828It is challenge in epidemiology to characterize the temperol aspect of exposure-disease association. The authors propose a stochastic model to deal with exposures that are time-dependent and exhibit susceptibility and latency effects. The model is applied to a retrospective cohort data on lung cancer mortality in the blackfoot disease endemic area in Taiwan. The authors compare the proposed model with the multistage model, the back-calculation model, the catalytic model, and the age-period-cohort models.EnglishAge-period-cohort model; Back-calculation model; Catalytic model; EM algorithm; Lung cancer; Multistage model; Smoothing[SDGs]SDG3Modeling Exposure Intensity and Susceptibility-Latency Effect from Retrospective Cohort Data - Application to Lung Cancer Mortality in Blackfoot Disease Endemic Area in Taiwanjournal article10.1002/bimj.47103807102-s2.0-0030298759