Fehlende Werte in SAS 6.12, US-Version

Fliers, Frits (1999): Fehlende Werte in SAS 6.12, US-Version.

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.

• Item Type: MPRA Paper
• English Title: Missing Values in SAS 6.12, US-Version
• Language: German
• Keywords: treatment; missing values; statistical analysis
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C10 - General; C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C19 - Other; C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C49 - Other

References

FDA, Food and Drug Administration, 2867fnl.pdf, www.fda.gov/cder/guidance, 1999, Seite 12.

FDA, Food and Drug Administration, 2867fnl.pdf, www.fda.gov/cder/guidance, 1999, Seite 13.

FDA, Food and Drug Administration, 2353fnl.pdf, www.fda.gov/cder/guidance, 1999, Seite 70-74.

Altman-D, Practical Statistics for Medical Research, Chapman & Hall, Weinheim, 1997, Seite 109.

Kleinbaum-D, Kupper-L, Muller-K, Nizam-A, Applied Regression Analysis and other Multivariable Methods, Duxbury Press, Bonn, 1998.

Kleinbaum-D, Survival Analysis, Springer Verlag, Berlin, 1997.

The SAS Institute, statview1565.html, www.sas.com, 1999, FAQ# 1565.

The SAS Institute, Datenverarbeitung und statistische Auswertung mit SAS, Band I, Version 6.04, Gustav Fischer Verlag, Stuttgart, 1992, Seite 638.

The SAS Institute, SAS/ETS Software Data Manipulation - Time Series Interpolation and Frequency Conversion, http://www.sas.com/rnd/app/ets/ets_data.html, 1999.

Kleinbaum-D, Survival Analysis, Springer Verlag, Berlin, 1997, Seite 97.

The SAS Institute, regproc1340.html, www.sas.com, 1998, FAQ# 1340.

Hahl-T, Shelton-R, Dropping Variables That Have Only Missing Values, Observations Vol. 5, No. 4, The SAS Institute, v5n20pp1.html.

Kahn-H, Sempos-C, Statistical Methods in Epidemiology, Oxford, 1989, Seite 227.

Dawber-TR, The Framingham Study: The Epidemiology of Atherosclerotic Disease, Harvard University Press, Boston, 1980.