<P>Missing data form a problem in every scientific discipline, yet the techniques required to handle them are complicated and often lacking. One of the great ideas in statistical scienceβmultiple imputationβfills gaps in the data with plausible values, the uncertainty of which is coded in the data i
Multiple Imputation of Missing Data Using SAS
β Scribed by Patricia Berglund, Steven G. Heeringa
- Publisher
- SAS Institute
- Year
- 2014
- Tongue
- English
- Leaves
- 276
- Series
- SAS
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
"Multiple Imputation is a versatile and general purpose method for analyzing data with some missing values. One popular approach is called sequential regression multivariate imputation, and the authors here have developed a free software package called IVEware that uses this approach. This package w
<p><strong>Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies</strong> provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis. Over the past 40 years or so, multiple imputation
New and extensively updated for SAS 9 and later! Have you ever felt that there was no multiple inference method that fit the particular constraints of your data? Or been overwhelmed by the many choices of procedures? <i>Multiple Comparisons and Multiple Tests Using SAS, Second Edition</i>, written b