2026 Workshop Videos Available
The Texas RCMAR Analysis Core and UTMB’s Department of Biostatistics and Data Science hosted a free virtual workshop on March 20, 2026, focused on “Handling Survey Weights and Missing Data in Applied Survey Research.” Led by experts Xiaoying Yu, PhD, Jeong Hoon Jang, PhD, and Moumita Chakraborty, PhD, the event guided participants through key methods for analyzing complex survey data to gain conceptual understanding and practical skills to strengthen their survey‑based research.
Workshop Videos
Session 1: Introduction to Survey Data Analysis
Instructor: Xiaoying Yu, PhD, Associate Professor
- Overview of complex survey designs (strata, clusters, weights)
- How to use sampling weights
- Common pitfalls in analyzing survey data
Session 2: Imputation for Missing Data
Instructor: Jeong Hoon Jang, PhD, Assistant Professor
- Types of missing data (MCAR, MAR, MNAR)
- Single imputation (regression imputation, hot-deck imputation)
- Introduction to multiple imputation and key steps in practice
Session 3: Handling Missing Not at Random
Instructor: Jeong Hoon Jang, PhD, Assistant Professor
- Why MNAR is challenging in practice
- Sensitivity analysis for missing data assumptions
- Conceptual approaches to MNAR modeling (selection model, pattern-mixture model)
Session 4: Bayesian Methods in Missing Data Analysis
Instructor: Moumita Chakraborty, PhD, Assistant Professor
- Bayesian framework with hierarchical modeling of missing data and model parameters
- Iterative methods for Bayesian multiple imputation and inference using the EM algorithm and Gibbs sampling
- Strategies for handling MNAR in the Bayesian framework
- Sensitivity analysis with respect to (1) prior distribution (2) missing data assumptions
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