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Learner Reviews & Feedback for Dealing With Missing Data by University of Maryland, College Park

3.8
stars
121 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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May 17, 2019

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Dec 24, 2016

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Nov 3, 2018