General Relative Risk Models in Stratified Epidemiologic Studies
研究了分层流行病学中相对风险的乘法、加法和指数加法模型，发现加法模型参数估计统计性质差，提出了替代模型，允许每个预测变量对相对风险有乘法或加法效应，并通过两个实例展示应用。
Multiplicative, additive, and exponential additive models of the relative risk in stratified epidemiologic studies are considered. Parameter estimates of the additive model are shown to have poor statistical properties and an alternative is suggested. This model is generalized to allow each predictor in the model to have either a multiplicative or additive effect on the relative risk. Two examples are presented. One is a standard matched case‐control design and the second is a large prospective study analysed as a synthetic retrospective study. All models may be fitted by making slight changes in existing software.