| Description |
1 online resource (1 volume) : illustrations |
| Bibliography |
Includes bibliographical references and index. |
| Summary |
This book provides both theoretical background and constructive solutions for those working with incomplete data sets in an engaging example-driven format. It offers practical instruction on the use of SAS for multiple imputation and provides numerous examples that use a variety of public release data sets with applications to survey data. The book is for users with an intermediate background in SAS programming and statistics. The authors cover the MI and MIANALYZE procedures in detail, along with other procedures used for analysis of complete data sets. They guide analysts through the multiple imputation process, including evaluation of missing data patterns, choice of an imputation method, execution of the process, and interpretation of results. Topics discussed include how to deal with missing data problems in a statistically appropriate manner, how to intelligently select an imputation method, how to incorporate the uncertainty introduced by the imputation process, and how to incorporate the complex sample design (if appropriate) through use of the SAS SURVEY procedures. -- Edited summary from book. |
| Subject |
SAS (Computer file)
|
|
SAS (Computer file) |
|
SAS (Computer file) |
|
Multiple imputation (Statistics)
|
|
Mathematical statistics -- Data processing.
|
|
Imputation multiple (Statistique) |
|
Statistique mathématique -- Informatique. |
|
Mathematical statistics -- Data processing |
|
Multiple imputation (Statistics) |
| Added Author |
Heeringa, Steven, 1953-
|
|
SAS Institute.
|
| Added Title |
Multiple imputation of missing data using Statistical Analysis System |
| Other Form: |
Print version: Berglund, Patricia. Multiple imputation of missing data using SAS 9781612904528 (OCoLC)885277420 |
| ISBN |
9781629592053 (electronic bk.) |
|
1629592056 (electronic bk.) |
|
More Resources