期刊
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
卷 112, 期 519, 页码 1121-1130出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/01621459.2016.1192546
关键词
Bivariate mapping; Estimating equation; Semiparametric model; Variation independence
资金
- U.S. National Institutes of Health [R01 AI032475, AI113251]
- ONR grant [N00014-15-1-2672]
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.
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