Dr. Belin is the principal statistician for Healthcare for Communities, and in this capacity, collaborates on many Center-related research projects. Dr. Belin specializes in statistical methods for handling incomplete data, propensity-score methods in observational studies, survey design and analysis, and handling noncompliance in experiments. Under a NIMH-funded R29 project on methods for handling missing data, he has supervised six Ph.D. dissertations at UCLA, and has continued to pursue work on handling large numbers of variables in incomplete data sets under a NIMH-funded R01 project entitled Imputation for Moderate-Sized Mental Health Studies. Contact Info