Hakan Demirtas

Hakan Demirtas is an Associate Professor in the Department of Epidemiology and Biostatistics at the University of Illinois at Chicago (UIC) School of Public Health. His research focuses on statistical methods for handling missing data, multiple imputation, and simulation techniques in public health contexts. He leads the Center for Health Statistics and has developed several R packages for data generation and analysis.

His work emphasizes improving statistical methodologies for correlated data, particularly in discretization and correlation modeling. Notable contributions include frameworks for generating multivariate data with mixed variable types and modeling correlational transformations in non-normal contexts. His research also applies statistical models to epidemiological studies, such as estimating pandemic dynamics and assessing environmental health risks.

Dr. Demirtas has published extensively on topics like Poisson data generation, fractional Brownian motion discretization, and software tools for statistical analysis. He actively contributes to the R community through packages like MultiOrd and PoisNor. Despite no explicit awards listed, his impactful methodological work underscores his expertise in biostatistics.