Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspecification

Background Log-binomial and robust (modified) Poisson regression models are popular approaches to estimate risk ratios for binary response variables. Previous studies have shown that comparatively they produce similar point estimates and standard errors. However, their performance under model misspe...

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Veröffentlicht in:	BMC medical research methodology Jg. 18; H. 1; S. 63 - 12
Hauptverfasser:	Chen, Wansu, Qian, Lei, Shi, Jiaxiao, Franklin, Meredith
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 22.06.2018 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Asthma Bias Data analysis Economic models Estimates Health Sciences Link function misspecification Log-binomial regression Medicine Medicine & Public Health Methods Model misspecification Parameter estimation Patients Ratios Regression analysis Research Article Risk ratio Robust (modified) Poisson regression Statistical Theory and Methods statistics and modelling Statistics for Life Sciences Theory of Medicine/Bioethics Robust (modified) Poisson regression Risk ratio Model misspecification Link function misspecification Log-binomial regression
ISSN:	1471-2288, 1471-2288
Online-Zugang:	Volltext
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