Multiple imputation of missing data using SAS
Find guidance on using SAS for multiple imputation and solving common missing data issues Multiple Imputation of Missing Data Using SAS provides both theoretical background and constructive solutions for those working with incomplete data sets in an engaging example-driven format. It offers practic...
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| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Cary, NC :
SAS Institute
2014.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629204306719 |
Tabla de Contenidos:
- Introduction to missing data and methods for analyzing data with missing values
- Introduction to multiple imputation theory and methods
- Multiple imputation for the analysis of complex sample survey data
- Multiple imputation of continuous variables
- Multiple imputation of classification variables
- Multiple imputation case studies
- Preparation of data sets for PROC MIANALYZE.
