A simulation study of regression approaches for estimating risk ratios in the presence of multiple confounders

Abstract Background Risk ratio is a popular effect measure in epidemiological research. Although previous research has suggested that logistic regression may provide biased odds ratio estimates when the number of events is small and there are multiple confounders, the performance of risk ratio estim...

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Bibliographic Details
Main Authors: Kanako Fuyama, Yasuhiro Hagiwara, Yutaka Matsuyama
Format: Article
Language:English
Published: BMC 2021-12-01
Series:Emerging Themes in Epidemiology
Subjects:
Online Access:https://doi.org/10.1186/s12982-021-00107-2