Modern Approaches to Missing Data

Modern Approaches to Missing Data
 
Missing data is a common complication in applied research and analysis in the health professions. Failure to correctly account for missing data may lead to biased results, reduced power and incorrect estimates. In this short course, Dr. Ofer Harel from the University of Connecticut will introduce the missing data literature, the main ideas and their application of Multiple Imputation, as well as he will present an open source statistical software R for implementing… Show more imputation.
 
This course will run January 2-4 from 9:00am-6:00pm, and will take place in at the Fielding School of Public Health at UCLA.  The exact room number will be sent to registered students.  Students are required to bring their own laptop to the course.
 
Course Faculty:
Ofer Harel, Ph.D.
Associate Professor, Department of Statistics
Principal Investigator, Center for Health, Intervention, and Prevention (CHIP)
University of Connecticut
Winter Institute
UCLA Fielding School of Public Health

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