See the References sections at the end of the REG, GLM, MIXED, and GLIMMIX chapters in the SAS/STAT User's Guide.

References from SAS

• SAS for Mixed Models: Introduction and Basic Applications
• †SAS for Linear Models, Fourth Edition
• †SAS for Mixed Models, Second Edition
• †SAS System for Regression, Third Edition
• Vonesh, E. F. 2012. Generalized Linear and Nonlinear Models for Correlated Data. Cary, NC: SAS Institute Inc.
• The "Introduction to..." chapters in the SAS/STAT User's Guide
• Comparing the SAS GLM and MIXED Procedures for Repeated Measurements Analysis

Example data sets and SAS code used in the above books are available at the links for each book or at this location.

† This book is no longer available from SAS Institute but might be available from other sources. Also, example data and code from this book can be found at this location.

General References not from SAS

• Kvalseth, T. O. 1985. "Cautionary Note about R²." The American Statistician 39:279.
• Milliken, G. A., and D. E. Johnson. 2009. Analysis of Messy Data, Volume I: Designed Experiments, Second Edition. New York: Chapman and Hall/CRC.
• Milliken, G. A., and D. E. Johnson. 1989. Analysis of Messy Data, Volume II: Nonreplicated Experiments. New York: Van Nostrand Reinhold.
• Milliken, G. A., and D. E. Johnson. 2002. Analysis of Messy Data, Volume III: Analysis of Covariance. London: Chapman and Hall/CRC.
• Myers, R. H. 1990. Classical and Modern Regression with Applications, Second Edition. Boston: PWS-Kent Publishing Company.
• Searle, S. R. 1971. Linear Models. New York: John Wiley and Sons Inc.
• Searle, S. R. 1987. Linear Models for Unbalanced Data. New York: John Wiley and Sons Inc.
• Searle, S. R., G. Casella, C. E. McCulloch. 1992. Variance Components. New York: John Wiley and Sons Inc.
• Singer, J. D. 1998. "Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models." Journal of Educational and Behavioral Statistics Vol. 24, No. 4:323–355.
• Sokol, R. R., and Rohlf, F. J. 1969. Biometry, First Edition. New York: W. H. Freeman & Co.
• Steel, R.G.D., Torrie, J.H. and Dickey, D.A. 1997. Principles and Procedures of Statistics, A Biometrical Approach. 3rd Edition. New York: McGraw Hill, Inc. Book Co.
• Stroup, W. W. 2012. Generalized Linear Mixed Models: Modern Concepts, Methods and Applications. New York: Chapman & Hall/CRC.
• Verbeke, G., and G. Molenberghs. 1997. Linear Mixed Models in Practice: A SAS-Oriented Approach. New York: Springer-Verlag.
• Verbeke, G., and G. Molenberghs. 2000. Linear Mixed Models for Longitudinal Data. New York: Springer-Verlag.
• White, H. 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity." Econometrics 48:817–838.