On Modeling and Estimation for the Relative Risk and Risk Difference
收藏DataCite Commons2020-09-04 更新2024-07-25 收录
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https://tandf.figshare.com/articles/dataset/On_Modeling_and_Estimation_for_the_Relative_Risk_and_Risk_Difference/3427349/1
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资源简介：
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.
提供机构：
Taylor & Francis
创建时间：
2016-06-10
