title: [Application of SAS macro to evaluated multiplicative and additive interaction in logistic and Cox regression in clinical practices].
abstract: Conditional logistic regression analysis and unconditional logistic regression analysis are commonly used in case control study, but Cox proportional hazard model is often used in survival data analysis. Most literature only refer to main effect model, however, generalized linear model differs from general linear model, and the interaction was composed of multiplicative interaction and additive interaction. The former is only statistical significant, but the latter has biological significance. In this paper, macros was written by using SAS 9.4 and the contrast ratio, attributable proportion due to interaction and synergy index were calculated while calculating the items of logistic and Cox regression interactions, and the confidence intervals of Wald, delta and profile likelihood were used to evaluate additive interaction for the reference in big data analysis in clinical epidemiology and in analysis of genetic multiplicative and additive interactions.
authors.affiliation: Department of Cardiac Surgery, South China Key Laboratory of Structural Heart Disease, Guangdong Cardiovascular Disease Institute, Division of Epidemiology, Guangdong People's Hospital, Guangdong Academic of Medical Science, Guangzhou 510080, China.
authors.forename: Z Q
authors.initials: ZQ
authors.lastname: Nie
authors.affiliation: Department of Cardiac Surgery, South China Key Laboratory of Structural Heart Disease, Guangdong Cardiovascular Disease Institute, Division of Epidemiology, Guangdong People's Hospital, Guangdong Academic of Medical Science, Guangzhou 510080, China.
authors.forename: Y Q
authors.initials: YQ
authors.lastname: Ou
authors.affiliation: Department of Pediatric Cardiology, Guangdong People's Hospital, Guangdong Academic of Medical Science, Guangzhou 510080, China.
authors.forename: J
authors.initials: J
authors.lastname: Zhuang
authors.affiliation: Department of Cardiac Surgery, South China Key Laboratory of Structural Heart Disease, Guangdong Cardiovascular Disease Institute, Division of Epidemiology, Guangdong People's Hospital, Guangdong Academic of Medical Science, Guangzhou 510080, China.
authors.forename: Y J
authors.initials: YJ
authors.lastname: Qu
authors.affiliation: Department of Cardiac Surgery, South China Key Laboratory of Structural Heart Disease, Guangdong Cardiovascular Disease Institute, Division of Epidemiology, Guangdong People's Hospital, Guangdong Academic of Medical Science, Guangzhou 510080, China.
authors.forename: J Z
authors.initials: JZ
authors.lastname: Mai
authors.affiliation: Department of Pediatric Cardiology, Guangdong People's Hospital, Guangdong Academic of Medical Science, Guangzhou 510080, China.
authors.forename: J M
authors.initials: JM
authors.lastname: Chen
authors.affiliation: Department of Cardiac Surgery, South China Key Laboratory of Structural Heart Disease, Guangdong Cardiovascular Disease Institute, Division of Epidemiology, Guangdong People's Hospital, Guangdong Academic of Medical Science, Guangzhou 510080, China.
authors.forename: X Q
authors.initials: XQ
authors.lastname: Liu
mesh_terms: D016022:Case-Control Studies; D006801:Humans; D016015:Logistic Models; D016016:Proportional Hazards Models; D016019:Survival Analysis