معرفی
Levent Dumenci serves as Professor in the Department of Epidemiology and Biostatistics at Temple University's College of Public Health since July 2015. His NIH-funded research (NIMH, NCI) focuses on psychometric test development and discrete latent variable modeling of behavioral data. He is the author of Latent Kappa and provides statistical consultation for quasi-experimental and non-experimental research designs across public health disciplines.
His educational foundation includes:
- PhD in Psychometrics (Major) and Statistics (Minor) from Iowa State University
- MS in Psychometrics from Iowa State University
- BS in Psychology from Hacettepe University
Dumenci's research integrates structural equation modeling, multitrait-multimethod matrix specification, and statistical modeling of observed/unobserved heterogeneity. His work advances methodologies for situational specificity of behavioral ratings, latent agreement modeling, and health literacy assessment. This interdisciplinary approach bridges biostatistics, epidemiology, and clinical measurement with emphasis on rigorous quantitative analysis of complex health data.
His extensive publication record demonstrates consistent focus on orthopedic outcomes (particularly knee arthroplasty), where he applies advanced statistical techniques to patient-reported outcomes, pain assessment, and recovery trajectories. Significant contributions also appear in cancer health literacy, neighborhood-level adverse childhood experiences indices, and opioid use patterns in surgical recovery. His methodological innovations frequently address limitations in minimal clinically important difference estimation and patient outcome classification.
Dumenci actively contributes to academic service through NIH/NSF study sections and editorial boards of two international journals. He mentors students through statistical consultation for externally funded projects and teaches core courses including Biostatistics for Health Professions (EPBI 5001) and Structural Equation Modeling (EPBI 8201).
He directs the Biostatistics Core at Temple University, which provides statistical methodology support across public health research domains including clinical trials, observational studies, and community-based interventions. His team specializes in complex data modeling for behavioral health, chronic disease management, and health disparities research.
