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Multiple imputation of missing data using SAS /
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 da...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cary, N.C. :
SAS Institute,
2014.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Berglund, Patricia A. | |
| 245 | 1 | 0 | |a Multiple imputation of missing data using SAS / |c Patricia Berglund and Steven Heeringa. |
| 246 | 3 | |a Multiple imputation of missing data using Statistical Analysis System | |
| 260 | |a Cary, N.C. : |b SAS Institute, |c 2014. | ||
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
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| 520 | |a 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. -- |c Edited summary from book. | ||
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| 650 | 7 | |a Multiple imputation (Statistics) |2 fast |0 (OCoLC)fst01028979 | |
| 700 | 1 | |a Heeringa, Steven, |d 1953- | |
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