Overview

Written for users with an intermediate background in SAS programming and statistics, this book is an excellent resource for anyone seeking guidance on multiple imputation. It provides both theoretical background and practical solutions for those working with incomplete data sets in an engaging example-driven format.

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9781612904528

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Reviews

Multiple Imputation of Missing Data Using SAS does an excellent job of introducing the reader to the SAS code needed to understand and conduct multiple imputation for univariate and multivariate missing data problems. -- Reza Daniels School of Economics, University of Cape Town

"""Multiple Imputation of Missing Data Using SAS does an excellent job of introducing the reader to the SAS code needed to understand and conduct multiple imputation for univariate and multivariate missing data problems."" -- Reza Daniels ""School of Economics, University of Cape Town"""

Author Information

"Patricia Berglund is a Senior Research Associate in the Survey Methodology Program at the University of Michigan Institute for Social Research (ISR). She has extensive experience in the use of SAS for data management and analysis. She is a faculty member in the ISR's Summer Institute in Survey Research Techniques and also directs the ISR's SAS training programs. Berglund also teaches a SAS Business Knowledge Series class titled, ""Imputation Techniques in SAS."" Her primary research interests are mental health, youth substance issues, and survey methodology."

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