References

  1. Cohen, J., Cohen, P., West, S.G., and Aiken, L.S. (2002). Applied multiple regression/correlation analysis for the behavioral sciences (3rd Edition). Mahwah, N.J.: Lawrence Erlbaum.
  2. Elliott, A.C., and Hynan, L.S. (2007). “A SAS Macro Implementation of a Multiple Comparison Post Hoc Test.” Proceedings of the Joint Statistical Meetings.
  3. Elliott, A.C., and Woodward, W.A. (1986). “Analysis of an Unbalanced Two-Way ANOVA on the Microcomputer”. Commun Stat, B15(1):215–25.
  4. Fleiss, J.L. (1981). Statistical methods for rates and proportions (2nd Edition). New York: Wiley.
  5. Frigge M., Hoaglin, D.C., and Iglewicz, B. (1989). “Some Implements of the Boxplot”. Am Stat 43(1):50–54.
  6. Gardiner, H. (2006). Multiple intelligences: new horizons. New York: Basic Books.
  7. Hand, D., Daly, F., McConway, K., Lunn, D., and Ostrowski, E. (1994). A handbook of small data sets. Boca Raton, F.L.: Chapman and Hall.
  8. Hosmer, D.W., and Lemeshow, S. (2000). Applied logistic regression (2nd Edition). New York: Wiley.
  9. Johnson, D.E. (1998). Applied multivariate methods for data analysis. Pacific Grove, C.A.: Duxbury Press.
  10. Johnson, R.A., and Wichern, D.W. (2007). Applied multivariate statistical analysis (6th Edition). Englewood Cliffs, N.J.: Pearson Prentice Hall.
  11. Landis, J.R., and Koch, G.G. (1977). “The Measurement of Observer Agreement for Categorical Data”. Biometrics 33:159–74.
  12. Littell, R.C., Milliken, G.A., Stroup, W.W., and Wolfinger, R.D. (1996). SAS system for mixed models. Cary, N.C.: SAS Institute, ...

Get SAS Essentials: Mastering SAS for Data Analytics, 2nd Edition now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.