Comparison of robustness to outliers between robust poisson models and log-binomial models when estimating relative risks for common binary outcomes: a simulation study.

ABSTRACT:

Background

To estimate relative risks or risk ratios for common binary outcomes, the most popular model-based methods are the robust (also known as modified) Poisson and the log-binomial regression. Of the two methods, it is believed that the log-binomial regression yields more efficient estimators because it is maximum likelihood based, while the robust Poisson model may be less affected by outliers. Evidence to support the robustness of robust Poisson models in comparison with log-binomial models is very limited.

Methods

In this study a simulation was conducted to evaluate the performance of the two methods in several scenarios where outliers existed.

Results

The findings indicate that for data coming from a population where the relationship between the outcome and

SUBMITTER: Chen W 

PROVIDER: S-EPMC4079617 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature