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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: STATA (Software)
Status: Data Transformation
Course18 hours

Featured reviews

HE

4.0Reviewed Dec 24, 2017

This is a higher level course. Good for beginners.

ZM

5.0Reviewed Aug 19, 2019

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

MM

5.0Reviewed Jun 4, 2017

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

All reviews

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MARTYNS NWAOKOCHA
3.0
Reviewed May 17, 2019
marine henry
1.0
Reviewed Feb 13, 2019
Evan
2.0
Reviewed Dec 24, 2016
Ahmed Ibrahim
1.0
Reviewed Aug 31, 2016
Reni Amelia
5.0
Reviewed Apr 5, 2018
Lingbing Feng
3.0
Reviewed Feb 10, 2019
Iyshia Lowman
3.0
Reviewed Nov 8, 2018
Patrick Calderon
2.0
Reviewed Aug 20, 2020
Santiago Restrepo
1.0
Reviewed Aug 26, 2020
Zachary Mandell
5.0
Reviewed Aug 20, 2019
Mohammad Morshedloo
5.0
Reviewed Jun 5, 2017
Carlos F. Pavon
5.0
Reviewed Apr 27, 2017
Tin Ko Oo
5.0
Reviewed Jan 25, 2017
Roberto Daniel Cáceres Bauer
5.0
Reviewed Jun 4, 2020
Neeraj Kulkarni
5.0
Reviewed Oct 26, 2016
Anna Bellido Rivas
5.0
Reviewed Jan 24, 2018
Tracy Swett
4.0
Reviewed May 27, 2021
Kelly Dunn
3.0
Reviewed Jun 22, 2021
Yuni Arti
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Reviewed Sep 13, 2022
Vanessa Heng
2.0
Reviewed Nov 20, 2022