Agresti, A. (1990), Categorical Data Analysis, New York: John Wiley & Sons.
Agresti, A. (1992), “A Survey of Exact Inference for Contingency Tables,” Statistical Science, 7, 131–177.
Agresti, A. (2002), Categorical Data Analysis, 2nd Edition, New York: John Wiley & Sons.
Agresti, A. (2010), Analysis of Ordinal Categorical Data, 2nd Edition, New York: John Wiley & Sons.
Agresti, A. (2013), Categorical Data Analysis, 3rd Edition, Hoboken, NJ: John Wiley & Sons.
Aitchison, J. and Silvey, S. (1957), “The Generalization of Probit Analysis to the Case of Multiple Responses,” Biometrika, 44, 131–140.
Albert, A. and Anderson, J. A. (1984), “On the Existence of Maximum Likelihood Estimates in Logistic Regression Models,” Biometrika, 71, 1–10.
Allison, P. D. (1982), “Discrete-Time Methods for the Analysis of Event Histories,” in S. Leinhardt, ed., Sociological Methods and Research, 61–98, San Francisco: Jossey-Bass.
Allison, P. D. (1999), Logistic Regression Using the SAS System: Theory and Application, Cary, NC: SAS Institute Inc.
Allison, P. D. (2012), Logistic Regression Using SAS: Theory and Application, 2nd Edition, Cary, NC: SAS Institute Inc.
Ashford, J. R. (1959), “An Approach to the Analysis of Data for Semi-quantal Responses in Biology Response,” Biometrics, 15, 573–581.
Bartolucci, A. A. and Fraser, M. D. (1977), “Comparative Step-Up and Composite Test for Selecting Prognostic Indicator Associated with Survival,” Biometrical Journal, 19, 437–448.
Breslow, N. E. (1982), “Covariance Adjustment of Relative-Risk Estimates in Matched Studies,” Biometrics, 38, 661–672.
Breslow, N. E. and Day, N. E. (1980), The Analysis of Case-Control Studies, Statistical Methods in Cancer Research, IARC Scientific Publications, vol. 1, no. 32, Lyon: International Agency for Research on Cancer.
Brier, G. W. (1950), “Verification of Forecasts Expressed in Terms of Probability,” Monthly Weather Review, 78, 1–3.
Burnham, K. P. and Anderson, D. R. (1998), Model Selection and Inference: A Practical Information-Theoretic Approach, New York: Springer-Verlag.
Cameron, A. C. and Trivedi, P. K. (1998), Regression Analysis of Count Data, Cambridge: Cambridge University Press.
Collett, D. (2003), Modelling Binary Data, 2nd Edition, London: Chapman & Hall.
Cook, R. D. and Weisberg, S. (1982), Residuals and Influence in Regression, New York: Chapman & Hall.
Cox, D. R. (1970), The Analysis of Binary Data, New York: Chapman & Hall.
Cox, D. R. (1972), “Regression Models and Life Tables,” Journal of the Royal Statistical Society, Series B, 20, 187–220, with discussion.
Cox, D. R. and Snell, E. J. (1989), The Analysis of Binary Data, 2nd Edition, London: Chapman & Hall.
DeLong, E. R., DeLong, D. M., and Clarke-Pearson, D. L. (1988), “Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach,” Biometrics, 44, 837–845.
Demler, O. V., Pencina, M. J., and D’Agostino, R. B. (2012), “Misuse of DeLong Test to Compare AUCs for Nested Models,” Statistics in Medicine, 31, 2577–2587.
Derr, B. (2013), “Ordinal Response Modeling with the LOGISTIC Procedure,” in Proceedings of the SAS Global Forum 2013 Conference, Cary, NC: SAS Institute Inc.
URL https://support.sas.com/resources/papers/proceedings13/446-2013.pdf
Draper, C. C., Voller, A., and Carpenter, R. G. (1972), “The Epidemiologic Interpretation of Serologic Data in Malaria,” American Journal of Tropical Medicine and Hygiene, 21, 696–703.
Finney, D. J. (1947), “The Estimation from Individual Records of the Relationship between Dose and Quantal Response,” Biometrika, 34, 320–334.
Firth, D. (1993), “Bias Reduction of Maximum Likelihood Estimates,” Biometrika, 80, 27–38.
Fleiss, J. L. (1981), Statistical Methods for Rates and Proportions, 2nd Edition, New York: John Wiley & Sons.
Freeman, D. H., Jr. (1987), Applied Categorical Data Analysis, New York: Marcel Dekker.
Furnival, G. M. and Wilson, R. W. (1974), “Regression by Leaps and Bounds,” Technometrics, 16, 499–511.
Gail, M. H., Lubin, J. H., and Rubinstein, L. V. (1981), “Likelihood Calculations for Matched Case-Control Studies and Survival Studies with Tied Death Times,” Biometrika, 68, 703–707.
Hand, D. J., Daly, F., Lunn, A. D., McConway, K. J., and Ostrowski, E. (1994), A Handbook of Small Data Sets, London: Chapman & Hall.
Hanley, J. A. and McNeil, B. J. (1982), “The Meaning and Use of the Area under a Receiver Operating Characteristic (ROC) Curve,” Radiology, 143, 29–36.
Harrell, F. E. (1986), “The LOGIST Procedure,” in SUGI Supplemental Library Guide, Version 5 Edition, Cary, NC: SAS Institute Inc.
Heinze, G. (1999), The Application of Firth’s Procedure to Cox and Logistic Regression, Technical Report 10/1999, updated in January 2001, Section of Clinical Biometrics, Department of Medical Computer Sciences, University of Vienna.
Heinze, G. (2006), “A Comparative Investigation of Methods for Logistic Regression with Separated or Nearly Separated Data,” Statistics in Medicine, 25, 4216–4226.
Heinze, G. and Schemper, M. (2002), “A Solution to the Problem of Separation in Logistic Regression,” Statistics in Medicine, 21, 2409–2419.
Hilbe, J. M. (2009), Logistic Regression Models, London: Chapman & Hall/CRC.
Hirji, K. F. (1992), “Computing Exact Distributions for Polytomous Response Data,” Journal of the American Statistical Association, 87, 487–492.
Hirji, K. F. (2006), Exact Analysis of Discrete Data, Boca Raton, FL: Chapman & Hall/CRC.
Hirji, K. F., Mehta, C. R., and Patel, N. R. (1987), “Computing Distributions for Exact Logistic Regression,” Journal of the American Statistical Association, 82, 1110–1117.
Hirji, K. F., Mehta, C. R., and Patel, N. R. (1988), “Exact Inference for Matched Case-Control Studies,” Biometrics, 44, 803–814.
Hirji, K. F., Tsiatis, A. A., and Mehta, C. R. (1989), “Median Unbiased Estimation for Binary Data,” American Statistician, 43, 7–11.
Hosmer, D. W., Jr. and Lemeshow, S. (2000), Applied Logistic Regression, 2nd Edition, New York: John Wiley & Sons.
Hosmer, D. W., Jr. and Lemeshow, S. (2013), Applied Logistic Regression, 3rd Edition, New York: John Wiley & Sons.
Howard, S. (1972), “Remark on the Paper by Cox (’Regression Methods and Life Tables’),” Journal of the Royal Statistical Society, Series B, 34, 187–220.
Hurvich, C. M. and Tsai, C.-L. (1993), “A Corrected Akaike Information Criterion for Vector Autoregressive Model Selection,” Journal of Time Series Analysis, 14, 271–279.
Izrael, D., Battaglia, A. A., Hoaglin, D. C., and Battaglia, M. P. (2002), “Use of the ROC Curve and the Bootstrap in Comparing
Weighted Logistic Regression Models,” in Proceedings of the Twenty-Seventh Annual SAS Users Group International Conference, Cary, NC: SAS Institute Inc.
URL http://www2.sas.com/proceedings/sugi27/p248-27.pdf
Lachin, J. M. (2000), Biostatistical Methods: The Assessment of Relative Risks, New York: John Wiley & Sons.
Lancaster, H. O. (1961), “Significance Tests in Discrete Distributions,” Journal of the American Statistical Association, 56, 223–234.
Lawless, J. F. and Singhal, K. (1978), “Efficient Screening of Nonnormal Regression Models,” Biometrics, 34, 318–327.
Lee, E. T. (1974), “A Computer Program for Linear Logistic Regression Analysis,” Computer Programs in Biomedicine, 4, 80–92.
Littell, R. C., Freund, R. J., and Spector, P. C. (1991), SAS System for Linear Models, 3rd Edition, Cary, NC: SAS Institute Inc.
McCullagh, P. and Nelder, J. A. (1989), Generalized Linear Models, 2nd Edition, London: Chapman & Hall.
McFadden, D. (1974), “Conditional Logit Analysis of Qualitative Choice Behavior,” in P. Zarembka, ed., Frontiers in Econometrics, New York: Academic Press.
Mehta, C. R. and Patel, N. R. (1995), “Exact Logistic Regression: Theory and Examples,” Statistics in Medicine, 14, 2143–2160.
Mehta, C. R., Patel, N. R., and Senchaudhuri, P. (1992), “Exact Stratified Linear Rank Tests for Ordered Categorical and Binary Data,” Journal of Computational and Graphical Statistics, 1, 21–40.
Mehta, C. R., Patel, N. R., and Senchaudhuri, P. (2000), “Efficient Monte Carlo Methods for Conditional Logistic Regression,” Journal of the American Statistical Association, 95, 99–108.
Moolgavkar, S. H., Lustbader, E. D., and Venzon, D. J. (1985), “Assessing the Adequacy of the Logistic Regression Model for Matched Case-Control Studies,” Statistics in Medicine, 4, 425–435.
Muller, K. E. and Fetterman, B. A. (2002), Regression and ANOVA: An Integrated Approach Using SAS Software, Cary, NC: SAS Institute Inc.
Murphy, A. H. (1973), “A New Vector Partition of the Probability Score,” Journal of Applied Meterology, 12, 595–600.
Naessens, J. M., Offord, K. P., Scott, W. F., and Daood, S. L. (1986), “The MCSTRAT Procedure,” in SUGI Supplemental Library User’s Guide, Version 5 Edition, 307–328, Cary, NC: SAS Institute Inc.
Nagelkerke, N. J. D. (1991), “A Note on a General Definition of the Coefficient of Determination,” Biometrika, 78, 691–692.
Nelder, J. A. and Wedderburn, R. W. M. (1972), “Generalized Linear Models,” Journal of the Royal Statistical Society, Series A, 135, 370–384.
Peterson, B. L. and Harrell, F. E. (1990), “Partial Proportional Odds Models for Ordinal Response Variables,” Journal of the Royal Statistical Society, Series B, 39, 205–217.
Pregibon, D. (1981), “Logistic Regression Diagnostics,” Annals of Statistics, 9, 705–724.
Pregibon, D. (1984), “Data Analytic Methods for Matched Case-Control Studies,” Biometrics, 40, 639–651.
Prentice, R. L. and Gloeckler, L. A. (1978), “Regression Analysis of Grouped Survival Data with Applications to Breast Cancer Data,” Biometrics, 34, 57–67.
Press, S. J. and Wilson, S. (1978), “Choosing between Logistic Regression and Discriminant Analysis,” Journal of the American Statistical Association, 73, 699–705.
Santner, T. J. and Duffy, D. E. (1986), “A Note on A. Albert and J. A. Anderson’s Conditions for the Existence of Maximum Likelihood Estimates in Logistic Regression Models,” Biometrika, 73, 755–758.
SAS Institute Inc. (1995), Logistic Regression Examples Using the SAS System, Cary, NC: SAS Institute Inc.
Stokes, M. E., Davis, C. S., and Koch, G. G. (2000), Categorical Data Analysis Using the SAS System, 2nd Edition, Cary, NC: SAS Institute Inc.
Stokes, M. E., Davis, C. S., and Koch, G. G. (2012), Categorical Data Analysis Using SAS, 3rd Edition, Cary, NC: SAS Institute Inc.
Storer, B. E. and Crowley, J. (1985), “A Diagnostic for Cox Regression and General Conditional Likelihoods,” Journal of the American Statistical Association, 80, 139–147.
Venzon, D. J. and Moolgavkar, S. H. (1988), “A Method for Computing Profile-Likelihood Based Confidence Intervals,” Applied Statistics, 37, 87–94.
Vollset, S. E., Hirji, K. F., and Afifi, A. A. (1991), “Evaluation of Exact and Asymptotic Interval Estimators in Logistic Analysis of Matched Case-Control Studies,” Biometrics, 47, 1311–1325.
Walker, S. H. and Duncan, D. B. (1967), “Estimation of the Probability of an Event as a Function of Several Independent Variables,” Biometrika, 54, 167–179.
Williams, D. A. (1982), “Extra-binomial Variation in Logistic Linear Models,” Applied Statistics, 31, 144–148.