On Modeling and Estimation for the Relative Risk and Risk Difference
主 题: On Modeling and Estimation for the Relative Risk and Risk Difference
报告人: Dr. Linbo Wang (University of Washington)
时 间: 2015-12-03 10:30-11:30
地 点: 304am永利集团理科一号楼4层 1418 室
A common problem in formulating models for the relative risk and risk difference is the variation dependence between these parameters and the baseline risk, which is a nuisance model. We address this problem by proposing the conditional log odds-product as a preferred nuisance model. This novel nuisance model facilitates maximum-likelihood estimation, but also permits doubly-robust estimation for the parameters of interest. Our approach is illustrated via simulations and a data analysis.
