Back to Dealing With Missing Data
Learner Reviews & Feedback for Dealing With Missing Data by University of Maryland, College Park
136 ratings
About the Course
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®.
Top reviews
ZM
Aug 19, 2019
interesting material, well taught, lots of short quizzes to enforce understanding.
MM
Jun 4, 2017
This course quite help to get as much reliable data as possible for any survey.
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