Ofer Harel

Ofer Harel is a Professor in the Department of Statistics at the University of Connecticut, where he also serves as Dean of the College of Liberal Arts and Sciences. His research focuses on advanced statistical methodologies for handling incomplete data, with applications spanning epidemiology, health research, clinical trials, and social sciences.

• Primary Affiliation: University of Connecticut
• Roles: Professor of Statistics, Dean of College of Liberal Arts and Sciences
• Research Focus: Missing data analysis, Bayesian methods, latent class modeling, and statistical applications in public health

Research Interests span critical areas including:

• Missing Data Mechanisms: Developing and refining multiple imputation techniques
• Latent Class Analysis: Applying to health outcomes and behavioral studies
• Bayesian Modeling: For spatial and longitudinal health data
• Statistical Disclosure Control: Protecting sensitive demographic information
• Health Applications: Covering HIV prevention, cancer survivorship, and mental health
• Educational Statistics: Integrating computing tools into statistical pedagogy

Publication Trends demonstrate expertise in:

• Advanced imputation frameworks for clinical and epidemiological research
• Latent class and multilevel modeling for diverse health outcomes
• Statistical ethics and data confidentiality in public health research
• Spatial and longitudinal analysis of disease patterns
• Methodological innovations in handling missing data across multiple disciplines

Advising and Collaborative Work includes methodological contributions to:

• Non-inferiority trial designs with missing data challenges
• Bayesian spatial modeling applications in global health
• Improving statistical reporting and reproducibility