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See the "References" section at the end of the CATMOD and LOGISTIC chapters in the SAS/STAT User's Guide and below.

References from SAS

• Allison, P.D. (1999), Logistic Regression Using the SAS System: Theory and Application. Cary, NC: SAS Institute Inc.

  Data sets and SAS code are available from this book.

• Derr, R.E. (2000), "Performing Exact Logistic Regression with the SAS System." Proceedings of the Twenty-fifth Annual SAS Users Group International Conference, Indianapolis, IN.
• So, Y. (1993), "A Tutorial on Logistic Regression." Proceedings of the Eighteenth Annual SAS Users Group International Conference, New York, NY.
• Stokes, M.E., Davis, C.S., and Koch G.G. (1995), Categorical Data Analysis Using the SAS System, Second Edition. Cary, NC: SAS Institute Inc.

  Data sets and SAS code are available from this book.

General References Not from SAS

• Agresti, A. (2002), Categorical Data Analysis, Second Edition. New York: John Wiley & Sons Inc.
• Aldrich, J.H. and Nelson F.D. (1984), Linear Probability, Logit, and Probit Models, 07-045. Thousand Oaks, CA: Sage Publications.
• Collett, D. (2002), Modelling Binary Data, Second Edition. London: Chapman & Hall.
• DeMaris, A. (1992), Logit Modeling: Practical Applications, 07-086. Thousand Oaks, CA: Sage Publications.
• Hosmer, D.W. Jr. and Lemeshow, S. (2000), Applied Logistic Regression, Second Edition. New York: John Wiley & Sons Inc.
• Jaccard, J. (2001), Interaction Effects in Logistic Regression, 07-135. Thousand Oaks, CA: Sage Publications.
• Liao, T.F. (1994), Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models, 07-101. Thousand Oaks, CA: Sage Publications.
• Long, J.S. (1997), Regression Models for Categorical and Limited Dependent Variables. Thousand Oaks, CA: Sage Publications.
• McCullagh, P. and Nelder, J.A. (1989), Generalized Linear Models, Second Edition. London: Chapman & Hall/CRC.
• Molenberghs, G. and Verbeke, G. (2005), Models for Discrete Longitudinal Data. New York: Springer.

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