title: Age-dependent logistic regression model and its application.
abstract: In the present paper we introduce the theory and algorithm of the unconditional and conditional age-dependent logistic regression model, which combines logistic regression analysis of case-control study with survival analysis of cases in the data, thus facilitating simultaneous comparison analysis between cases and controls and among cases with different ages of disease onset under study. In age-dependent logistic regression analysis, estimated compound relative risk (CRR) and compound attributable risk (CAR) comprise the variance contributions of risk factors to disease occurrence and the time of disease onset, thereby the role played by various risk factors in etiology and etiopathology can be objectively evaluated. The current logistic regression model is only a particular case of age-dependent logistic regression theory neglecting the variations in onset age of diseases.
authors.affiliation: Cancer Institute, Chinese Academy of Medical Sciences, Beijing, PRC.
authors.forename: Y Y
authors.initials: YY
authors.lastname: Liu
mesh_terms: D000367:Age Factors; D000368:Aged; D004938:Esophageal Neoplasms / Q000453:epidemiology; D006801:Humans; D016015:Logistic Models; D008175:Lung Neoplasms / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D012307:Risk Factors; D012907:Smoking