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A Semiparametric Odds Ratio Model for Measuring Association
Author(s) -
Yun Chen Hua
Publication year - 2007
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.1541-0420.2006.00701.x
Subject(s) - inference , odds ratio , statistics , semiparametric regression , econometrics , robustness (evolution) , mathematics , semiparametric model , estimation , computer science , regression analysis , artificial intelligence , biology , economics , nonparametric statistics , biochemistry , management , gene
Summary We propose a semiparametric odds ratio model to measure the association between two variables taking discrete values, continuous values, or a mixture of both. Methods for estimation and inference with varying degrees of robustness to model assumptions are studied. Semiparametric efficient estimation and inference procedures are also considered. The estimation methods are compared in a simulation study and applied to the study of associations among genital tract bacterial counts in HIV infected women.