Training Opportunity: Multilevel Modeling and Disparities Research

Please see the announcement below: Training Opportunity: Multilevel Modeling and Disparities Research New Connections, in collaboration with the Center for Multicultural Mental Health Research (CMMHR) at the Cambridge Health Alliance, is sponsoring a free webinar entitled "Multilevel Modeling and Disparities Research", on Tuesday, March 5, 2013, at 3:00 pm EST. This webinar on multilevel modeling (MLM) includes a brief conceptual overview, compares MLM to generalized estimating equations (GEE) and other population average models, and demonstrates the application of MLM for use in racial/ethnic disparities analyses. The webinar will include software-based examples using MLwiN, Stata, and public data, with access to example SAS, Stata, and Mplus code. The webinar will be led by Dr. Benjamin Cook, Ph.D., Senior Scientist at the Center for Multicultural Mental Health Research and Assistant Professor at Harvard Medical School and Adam Carle, PhD., Assistant Professor of Pediatrics at the University of Cincinnati School of Medicine and Assistant Professor of Psychology at the University of Cincinnati College of Arts and Sciences. You must complete a brief application to participate in the webinar. Application to the webinar begins today (February 21) and ends at 3:00 EST, Wednesday, February 27, 2013 or when we receive the first 100 applicants. You will be notified about the status of your application by Friday, March 1. The selected applicants will receive information about joining the webinar on Friday, March 1. For more information about the webinar and to apply, please follow this link. Webinar Information and Application.  Please direct all inquiries regarding the webinar to info@rwjf-newconnections.org. New Connections Program Office

New Connections National Program Office New Connections: Increasing Diversity of RWJF Programming, is a national program of the Robert Wood Johnson Foundation with technical assistance provided by the OMG Center for Collaborative Learning.