Eric V. Slud

Eric V. Slud is a Professor in the Statistics Program within the Department of Mathematics at the University of Maryland, College Park. He has taught numerous graduate-level statistics courses including Mathematical Statistics, Categorical Data Analysis, and High-Dimensional Statistics since at least 2017.

Dr. Slud's research spans several key areas of mathematical statistics and probability. His work focuses on:

• Census statistics, particularly demographic modeling of nonresponse to national surveys
• Small Area Estimation (SAE) with applications to the SAIPE program
• Survival data analysis including semiparametric inference and clinical trial design
• Meta-analysis in biostatistics
• Pharmaceutical statistical methods
• Large-scale data problems with emphasis on cross-classified data

His publications demonstrate continued contributions across these domains, with particular emphasis on small area estimation methodologies, survival analysis techniques, and applications in survey statistics. Dr. Slud has developed innovative approaches to weighting adjustment, nonresponse correction, and estimation with complex survey data.

Dr. Slud has advised several PhD students including Yang Cheng (2004), Sophie Tsou (2005), and others working on topics ranging from Factor Analysis to Survival Data. He has collaborated extensively with researchers at the Census Bureau and FDA.

Dr. Slud maintains active research programs through multiple Research Interaction Teams (RITs) at the University of Maryland, focusing on advanced statistical methodologies and their applications to real-world problems in census methodology, healthcare, and other domains requiring sophisticated statistical analysis.