معرفی
Paul Wesley Scott is an Assistant Professor in the Health & Community Systems department at the University of Pittsburgh School of Nursing, specializing in advanced statistical methods and research methodology.
Dr. Scott's primary research interests include:
- Causal Inference
- Dynamic Panel & Intensive Longitudinal Data
- Clustering & Categorical Latent Variables
- Longitudinal Data Analysis
- Latent Variable Modeling
- Bayesian Inference
- Data Science
As a Faculty Statistician, he provides quantitative research support to faculty and doctoral students across diverse data sources and modeling frameworks. He is closely affiliated with the Research HUBS for Sleep & Circadian Sciences, Health Services & Policy, and Nursing Education & Scholarship, and serves on the T32 training faculty for excellence in digital health.
Dr. Scott is an active member of the American Statistical Association and the Psychometric Society, providing methodological reviews for journals including Structural Equation Modeling: A Multidisciplinary Journal and serving as a subject matter expert peer reviewer for PCORI-funded research reports.
His teaching portfolio includes:
- NUR 0088: Basic Statistics for EBP
- NUR 2011: Applied Statistics for EBP
- NUR 3112: Applied Parametric and Non-Parametric Statistics 1
- NUR 3113: Applied Parametric and Non-Parametric Statistics 2
- NUR 3114: Applied Regression Analysis
- NUR 3288: Research Measurement
Additionally, Dr. Scott serves as a Steward and Griever for USW Local 1088-04, demonstrating his commitment to faculty governance and labor relations within the academic community.
