Open Access Research article

Fitting parametric random effects models in very large data sets with application to VHA national data

Mulugeta Gebregziabher12*, Leonard Egede13, Gregory E Gilbert1, Kelly Hunt12, Paul J Nietert2 and Patrick Mauldin14

Author Affiliations

1 Center for Disease Prevention and Health Interventions for Diverse Populations, Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC, USA

2 Division of Biostatistics & Epidemiology, Medical University of South Carolina, 135 Cannon St, Charleston, SC, 29425, USA

3 Center for Health Disparities Research, Division of General Internal Medicine, Medical University of South Carolina, Charleston, SC, USA

4 Department of Clinical Pharmacy and Outcome Sciences, South Carolina College of Pharmacy, Charleston, SC, USA

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BMC Medical Research Methodology 2012, 12:163  doi:10.1186/1471-2288-12-163

Published: 24 October 2012

Additional files

Additional file 1:

Additional tables and figures that show results for the full model that includes all the covariates under several scenarios are in the appendix. Another set of tables that include the 1% scenario and REMR results that include VISNs 13 and 14 are in the Appendix. SAS Macro for the procedures we implemented to analyze SRS, StRS and REMR are also available in our website.

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