Inference in meta-regression models with log event rates information

Annamaria Guolo, University of Padova

Abstract: This work focuses on meta-analysis of treatment-control studies including the log event rate as a measure of the baseline risk for controls in order to explain between-study heterogeneity. Inference accounting for errors affecting the baseline risk measure is carried out using likelihood approaches and a simulation-based solution (SIMEX).