معرفی
Jeroen Mulder is a postdoctoral researcher at Utrecht University's Faculty of Social and Behavioural Sciences, Department of Methodology and Statistics. He works in the Dynamic Modeling Lab under Prof. Dr. Ellen Hamaker and collaborates with the Stress in Action research consortium. His research focuses on developing and evaluating mathematical models for causal inference in longitudinal observational data.
- Expertise: Structural Equation Modeling, Longitudinal Data Analysis, Causal Inference, Multilevel Analysis
- Skills: MLwiN, Mplus, HLM, R programming, statistical consultation
His work bridges causal inference methods from epidemiology/biostatistics (e.g., g-methods) with structural equation modeling techniques in psychology. Key trends include applying machine learning for propensity scores and comparing modeling frameworks for panel data analysis.
- 2022 - IPS Best Oral Presentation
- 2021 - IOPS Best Poster Presentation
Mulder teaches undergraduate statistics courses, supervises research master theses, and develops advanced courses like 'Dynamics and Causality' for the Master Applied Data Science program. He actively organizes Utrecht Summer School workshops on structural equation modeling.
