Mark Giganti

PhD, 2018

Dissertation: Statistical Methods for the Analysis of Error-Prone Electronic Health Records: Impact of Source Data Verification, Time Discretized Multiple Imputation, and Variance Estimation with Incompatible Imputation and Analysis Models

Advisor: Bryan Shepherd

MS, Biostatistics, University of Washington; BS, Statistics and Mathematics, University of Missouri-Columbia

At Harvard T. H. Chan School of Public Health since 2018. Currently Research Scientist, Center for Biostatistics in AIDS Research (CBAR).