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University of Maryland, College Park

Dealing With Missing Data

This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. Among the techniques discussed are adjustments using estimated response propensities, poststratification, raking, and general regression estimation. Alternative techniques for imputing values for missing items will be discussed. For both weighting and imputation, the capabilities of different statistical software packages will be covered, including R®, Stata®, and SAS®.

Status: Statistical Software
Status: R (Software)
Course18 hours

Featured reviews

ZM

Reviewed Aug 19, 2019

interesting material, well taught, lots of short quizzes to enforce understanding.

MM

Reviewed Jun 4, 2017

This course quite help to get as much reliable data as possible for any survey.

HE

Reviewed Dec 24, 2017

This is a higher level course. Good for beginners.

All reviews

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