Pre-Conference Workshop D

Missing Data Analysis in Practice

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Faculty:

Trivellore E. Raghunathan, PhD
University of Michigan


Trivellore Raghunathan (Raghu) is Director and Research Professor, Survey Research Center, Institute for Social Research and a Professor of Biostatistics, School of Public Health at the University of Michigan. He is a Research Professor, the Joint Program in Survey Methodology at the University of Maryland. His research interests are in the analysis of incomplete data, Bayesian methods, design and analysis of sample surveys, small area estimation, statistical disclosure longitudinal data analysis and statistical methods for epidemiology. He is the author of the book, Missing Data Analysis in Practice. He is Fellow of the American Statistical Association.



Course Description:

This course will provide an overview of a variety of methods for analyzing data with unit and item nonresponse. It will start with an introduction to the main ideas using several examples. The topics that follow will include: Definition of missing values, patterns and mechanisms, Adjustment methods through weighting; imputation methods, multiple imputations; maximum likelihood for incomplete data; and modern computationally intensive methods including data augmentation and Gibbs sampling methods.

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