A new synthesis analysis method for building logistic regression prediction models

作者：Sheng, Elisa; Zhou, Xiao Hua^*; Chen, Hua; Hu, Guizhou; Duncan, Ashlee

来源：Statistics in Medicine, 2014, 33(15): 2567-2576.

DOI：10.1002/sim.6125

• synthesis analysis
• logistic regression
• risk prediction model
• risk factors
• risk assessment
• multivariate analysis

Synthesis analysis refers to a statistical method that integrates multiple univariate regression models and the correlation between each pair of predictors into a single multivariate regression model. The practical application of such a method could be developing a multivariate disease prediction model where a dataset containing the disease outcome and every predictor of interest is not available. In this study, we propose a new version of synthesis analysis that is specific to binary outcomes. We show that our proposed method possesses desirable statistical properties. We also conduct a simulation study to assess the robustness of the proposed method and compare it to a competing method.

• 出版日期2014-7-10
• 单位北京应用物理与计算数学研究所; 中国人民大学