Skip to main content

The SAS Environment

  • Chapter
  • First Online:
  • 5481 Accesses

Abstract

In this chapter, we begin to become familiar with the basic SAS working environment. We introduce the basic 3-screen layout, how to navigate the SAS Explorer window, the two basic types of SAS programs, the kinds of data with which you will work in SAS, and how to get help.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   129.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    You may be beginning to detect the importance of semicolons in SAS.

References

  1. Cavalieri P, Marovich P, Patetta MJ, Walsh S, Bond C, SAS Institute (2000) Statistics I: Introduction to anova, regression, and logistic regression: course notes. SAS Institute, Cary, NC

    Google Scholar 

  2. Daniel WW (2006) Biostatistics: a foundation for analysis in the health sciences 8th edition with SPSS software CD Rom 14.0 set (Wiley series in probability and statistics). Wiley, New York

    Google Scholar 

  3. Darroch J. (1997) Biologic synergism and parallelism. American Journal of Epidemiology Vol 145, No7, pp 661–668.

    Article  Google Scholar 

  4. Delwiche LD, Slaughter SJ (2008) The little SAS book: a primer. SAS Institute, Cary, NC

    Google Scholar 

  5. Hennekens CH, Buring JE, Mayrent SL (1987) Epidemiology in medicine. Lippincott Williamns & Wilkins, Philadelphia

    Google Scholar 

  6. Hosmer DW, Lemeshow S (2000) Applied logistic regression (Wiley series in probability and statistics). Wiley, New York

    Book  Google Scholar 

  7. Kelsey JL, Whittemore AS, Evans AS, Thompson WD (1996) Methods in observational epidemiology. Oxford University Press, Oxford, New York

    Google Scholar 

  8. Kleinbaum DG, Kupper LL, Nizam A, Muller KE (2007) Applied regression analysis and multivariable methods (Duxbury applied). Duxbury Press, North Scituate, MA

    Google Scholar 

  9. Patetta MJ, Amrhein J (2005) Categorical data analysis using logistic regression: course notes. SAS Institute, Cary, NC

    Google Scholar 

  10. Rothman KJ, Greenland S, Lash TL (2008) Modern epidemiology, 3rd Edition. Lippincott Williamns & Wilkins, Philadelphia

    Google Scholar 

  11. Schlesselman JJ. (1982) Case-control studies: design, conduct, analysis. Oxford University Press, Oxford, New York

    Google Scholar 

  12. Susser ES, Schwartz S, Morabia A, Bromet E (2006) Psychiatric epidemiology: searching for the causes of mental disorders. Oxford University Press, Oxford, New York

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media New York

About this chapter

Cite this chapter

DiMaggio, C. (2013). The SAS Environment. In: SAS for Epidemiologists. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4854-9_2

Download citation

Publish with us

Policies and ethics