A special feature of Probability and Statistics Day at UMBC 2013 is that the conference, including the workshop, is open to all statistics graduate students
from UMBC and local universites free of charge; however, REGISTRATION IS REQUIRED! The deadline to register is Friday,
April 12, 2013. // REGISTER NOW
For more information, contact any member of the organizing committee:
Bimal Sinha
Conference Chair
443.538.3012
Kofi Adragni
410.455.2406
Yvonne Huang
410.455.2422
Yaakov Malinovsky
410.455.2968
Thomas Mathew
410.455.2418
Nagaraj Neerchal
410.455.2437
DoHwan Park
410.455.2408
Junyong Park
410.455.2407
Anindya Roy
410.455.2435
Elizabeth Stanwyck
410.455.5731
Participant Information
Abera Wouhib
Paper: Estimation of Heterogeneity Parameters in Multivariate Meta-Analysis of Random- Effects Models
Multivariate meta-analysis of random-effects model has the potential for estimating between-study correlations whereas its univariate counterpart is limited only in estimating between-study variances. The most common challenge for univariate or multivariate meta-analysis is in estimating heterogeneity parameters in non-negative domains under a random-effects model assumption. In this paper, two new multivariate estimation methods are demonstrated; first by extending the Sidik and Jonkman univariate estimates to a multivariate setting and second by considering an iterative version of the Sidik and Jonkman method, namely a Hybrid method. These methods are evaluated with respect to precision in estimating vectors for effect sizes and associated covariance matrices via simulation.
