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

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

Abstract 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 mod...

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Bibliographic Details
Main Authors: Wansu Chen, Lei Qian, Jiaxiao Shi, Meredith Franklin
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BMC Medical Research Methodology
Subjects:
Log-binomial regression
Robust (modified) Poisson regression
Model misspecification
Risk ratio
Link function misspecification
Online Access:http://link.springer.com/article/10.1186/s12874-018-0519-5

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http://link.springer.com/article/10.1186/s12874-018-0519-5

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