= Alan M. Zaslavsky
{c}
<Alan M. Zaslavsky> develops statistical methods for measuring health-care quality and disparities. His research includes <missing data>, <hierarchical Bayesian models> and <Bayesian inference>, bringing statistical adjustment to comparisons between health-care providers and populations.https://www.hcc.harvard.edu/members/alan-mark-zaslavsky[First-person institutional research profile]{ref}
With <Fan Li> and <Kari Lock Morgan>, he developed a framework for balancing <covariates> through <propensity score> weighting. Their <overlap weights> emphasize people with a substantial chance of receiving either treatment, defining an <overlap-weighted average treatment effect> for that comparison population.<Balancing Covariates via Propensity Score Weighting by Fan Li, Kari Lock Morgan and Alan M. Zaslavsky>[Weighting framework and overlap population]{ref}
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