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).
Inference in meta-regression models with log event rates information
Guolo Annamaria
2025
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).
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