Multiple Imputation of Missing Data Using SAS

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Discover steerage on utilizing SAS for a number of imputation and fixing widespread lacking data points.

Multiple Imputation of Missing Data Using SAS supplies each theoretical background and constructive options for these working with incomplete data units in an attractive instance-pushed format. It presents sensible instruction on the use of SAS for a number of imputation and supplies quite a few examples that use a spread of public launch data units with purposes to survey data.

Written for users with an intermediate background in SAS programming and statistics, this book is a wonderful useful resource for anybody looking for steerage on a number of imputation. The authors cowl the MI and MIANALYZE procedures intimately, together with different procedures used for evaluation of full data units. They information analysts by means of the a number of imputation course of, together with analysis of lacking data patterns, selection of an imputation technique, execution of the method, and interpretation of outcomes.

Subjects mentioned embrace the best way to cope with lacking data issues in a statistically applicable method, methods to intelligently choose an imputation technique, methods to incorporate the uncertainty launched by the imputation course of, and how you can incorporate the complicated pattern design (if applicable) via use of the SAS SURVEY procedures.

Uncover the theoretical background and see in depth purposes of the a number of imputation course of in motion.

This book is a component of the SAS Press program.

Product Details

  • File Size: 13084 KB
  • Print Length: 166 pages
  • Publisher: SAS Institute (July 1, 2014)
  • Publication Date: July 1, 2014
  • Sold by:  Amazon Digital Services LLC
  • Language: English
  • ASIN: B00M4D377Y
  • Text-to-Speech: Enabled
  • X-Ray: Not Enabled
  • Word Wise: Not Enabled
  • Lending: Not Enabled
  • Enhanced Typesetting: Enabled

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