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Fehlende Werte in SAS 6.12, US-Version
[Missing Values in SAS 6.12, US-Version]

Author

Listed:
  • Fliers, Frits

Abstract

Evaluating 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.

Suggested Citation

  • Fliers, Frits, 1999. "Fehlende Werte in SAS 6.12, US-Version [Missing Values in SAS 6.12, US-Version]," MPRA Paper 15320, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:15320
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    File URL: https://mpra.ub.uni-muenchen.de/15320/1/MPRA_paper_15320.pdf
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    More about this item

    Keywords

    treatment; missing values; statistical analysis;
    All these keywords.

    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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