Statistical Estimation Problems in Meta-Analysis

04/14/2016 - 16:30
04/14/2016 - 17:30
Andrew L. Rukhin, NIST, Information Technology Laboratory
Université de Sherbrooke, 2500, boul. de l'Université, salle D3-2041

 The principal statistical estimation problem in meta-analysis is to obtain a reliable confidence interval for the treatment effect. Several possible approaches and settings  are described. In particular a Bayesian model with non-informative priors and  the default data-dependent priors is discussed along with relevant optimization issues.

Last edited by on Thu, 04/07/2016 - 14:03