On Modeling and Estimation for the Relative Risk and Risk Difference
On Modeling and Estimation for the Relative Risk and Risk Difference
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DOI：
10.1080/01621459.2016.1192546
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发表时间：
2017-01-01
影响因子：
3.7
通讯作者：
Wang, Linbo
中科院分区：
文献类型：
--
作者：
Richardson, Thomas S.;Robins, James M.;Wang, Linbo
在制定相对风险和风险差异模型时的一个常见问题是这些参数与基线风险之间的变化依赖性，这是一个滋扰模型。我们解决这个问题，提出了一个优选的滋扰模型的条件对数奇积。这种新的滋扰模型有利于最大似然估计，但也允许双重鲁棒估计的参数的兴趣。我们的方法是通过模拟和数据分析说明。实现所提出的方法的R包brm可在CRAN上获得。本文的补充材料可在网上查阅。
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. An R package brm implementing the proposed methods is available on CRAN. Supplementary materials for this article are available online.