Fehlende Werte in SAS 6.12, US-Version
[Missing Values in SAS 6.12, US-Version]
AbstractEvaluating the treatment of missing values by SAS 6.12, the first target group is considered to be an uninitiated person like a physician who is doing his first real research in the frame of his doctoral thesis. Such a physician will easily come to wrong conclusions as the treatment of missing values by SAS is not uniform. In one SAS-scenario, data records with missing fields will be eliminated. In a second case, plausible data field content is being generated and inserted. In the third case, the number of records with missing data fields will be shown. The second target group consists of specialists with a Masters degree in Public Health or Statistics. If you study the documentation extensively and thoroughly, use the help-functions and www.sas.com, you may explore how SAS treats missing data fields in your case, and you will be able to arrive at valid conclusions.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 15320.
Date of creation: 29 Jun 1999
Date of revision:
treatment; missing values; statistical analysis;
Find related papers by JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
- C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
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