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 ed. New York: John Wiley & Sons.
Agresti, A. (2010). Analysis of Ordinal Categorical Data. 2nd ed. New York: John Wiley & Sons.
Agresti, A. (2013). Categorical Data Analysis. 3rd ed. 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.
Aldrich, J. H., and Nelson, F. D. (1984). Linear Probability, Logit, and Probit Models, vol. 45 of Sage University Paper Series on Quantitative Applications in the Social Sciences. Newbury Park, CA: Sage Publications.
Allison, P. D. (1982). “Discrete-Time Methods for the Analysis of Event Histories.” In Sociological Methods and Research, edited by S. Leinhardt, 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 ed. Cary, NC: SAS Institute Inc.
Allison, P. D. (2014). “Measures of Fit for Logistic Regression.” In Proceedings of the SAS Global Forum 2014 Conference, 1–12. 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., 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.
Chang, I.-M., Gelman, R., and Pagano, M. (1982). “Corrected Group Prognostic Curves and Summary Statistics.” Journal of Chronic Diseases 35:669–674.
Collett, D. (2003). Modelling Binary Data. 2nd ed. London: Chapman & Hall.
Cook, R. D., and Weisberg, S. (1982). Residuals and Influence in Regression. New York: Chapman & Hall.
Copas, J. B. (1989). “Unweighted Sum of Squares Test for Proportions.” Journal of the Royal Statistical Society, Series C 38:71–80.
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 34:187–220. With discussion.
Cox, D. R., and Snell, E. J. (1989). The Analysis of Binary Data. 2nd ed. London: Chapman & Hall.
Cragg, J. G., and Uhler, R. S. (1970). “The Demand for Automobiles.” Canadian Journal of Economics 3:386–406.
Davis, J., and Goadrich, M. (2006). “The Relationship between Precision-Recall and ROC Curves.” In Proceedings of the 23rd International Conference on Machine Learning, 233–240. New York: ACM.
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. 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.
Efron, B., and Hinkley, D. V. (1978). “Assessing the Accuracy of the Maximum Likelihood Estimator: Observed versus Expected Fisher Information.” Biometrika 65:457–483.
Estrella, A. (1998). “A New Measure of Fit for Equations with Dichotomous Dependent Variables.” Journal of Business and Economic Statistics 16:198–205.
Fagerland, M. W., and Hosmer, D. W. (2013). “A Goodness-of-Fit Test for the Proportional Odds Regression Model.” Statistics in Medicine 32:2235–2249.
Fagerland, M. W., and Hosmer, D. W. (2016). “Tests for Goodness of Fit in Ordinal Logistic Regression Models.” Journal of Statistical Computation and Simulation 86:3398–3418.
Fagerland, M. W., Hosmer, D. W., and Bofin, A. M. (2008). “Multinomial Goodness-of-Fit Tests for Logistic Regression Models.” Statistics in Medicine 27:4238–4253.
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 ed. New York: John Wiley & Sons.
Fleiss, J. L., Levin, B., and Paik, M. C. (2003). Statistical Methods for Rates and Proportions. 3rd ed. Hoboken, NJ: John Wiley & Sons.
Forster, J. J., McDonald, J. W., and Smith, P. W. F. (2003). “Markov Chain Monte Carlo Exact Inference for Binomial and Multinomial Logistic Regression Models.” Statistics and Computing 13:169–177.
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.
Harrell, F. E., Jr. (2015). Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis. 2nd ed. New York: Springer.
Heinze, G. (1999). The Application of Firth’s Procedure to Cox and Logistic Regression. Technical Report 10, updated January 2001, Department of Medical Computer Sciences, Section of Clinical Biometrics, 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., Hosmer, T., Le Cessie, S., and Lemeshow, S. (1997). “A Comparison of Goodness-of-Fit Tests for the Logistic Regression Model.” Statistics in Medicine 16:965–980.
Hosmer, D. W., Jr., and Lemeshow, S. (2000). Applied Logistic Regression. 2nd ed. New York: John Wiley & Sons.
Hosmer, D. W., Jr., and Lemeshow, S. (2013). Applied Logistic Regression. 3rd ed. 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. (1989). “Regression and Time Series Model Selection in Small Samples.” Biometrika 76:297–307.
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. http://www2.sas.com/proceedings/sugi27/p248-27.pdf.
Kuss, O. (2002). “Global Goodness-of-Fit Tests in Logistic Regression with Sparse Data.” Statistics in Medicine 21:3789–3801.
Lachin, J. M. (2000). Biostatistical Methods: The Assessment of Relative Risks. New York: John Wiley & Sons.
LaMotte, L. R. (2002). Personal communication, June.
Lancaster, H. O. (1961). “Significance Tests in Discrete Distributions.” Journal of the American Statistical Association 56:223–234.
Lane, P. W., and Nelder, J. A. (1982). “Analysis of Covariance and Standardization as Instances of Prediction.” Biometrics 38:613–621.
Lave, C. A. (1970). “The Demand for Urban Mass Transportation.” Review of Economics and Statistics 52:320–323.
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 ed. Cary, NC: SAS Institute Inc.
Maddala, G. S. (1983). Limited-Dependent and Qualitative Variables in Econometrics. New York: Cambridge University Press.
McCullagh, P., and Nelder, J. A. (1989). Generalized Linear Models. 2nd ed. London: Chapman & Hall.
McFadden, D. (1974). “Conditional Logit Analysis of Qualitative Choice Behavior.” In Frontiers in Econometrics, edited by P. Zarembka, 105–142. New York: Academic Press.
McNicol, D. (2005). A Primer of Signal Detection Theory. Mahwah, NJ: Lawrence Erlbaum Associates.
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.
Menard, S. (2000). “Coefficients of Determination for Multiple Logistic Regression Analysis.” American Statistician 54:17–24.
Metz, C. E. (1978). “Basic Principles of ROC Analysis.” Seminars in Nuclear Medicine 8:283–298.
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.
Mroz, T. A. (1987). “The Sensitivity of an Empirical Model of Married Women’s Work to Economic and Statistical Assumptions.” Econometrica 55:765–799.
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 Meteorology 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.
Orme, C. (1988). “The Calculation of the Information Matrix Test for Binary Data Models.” The Manchester School 56:370–376.
Osius, G., and Rojek, D. (1992). “Normal Goodness-of-Fit Tests for Multinomial Models with Large Degrees of Freedom.” Journal of the American Statistical Association 87:1145–1152.
Paul, P., Pennell, M. L., and Lemeshow, S. (2013). “Standardizing the Power of the Hosmer-Lemeshow Goodness of Fit Test in Large Data Sets.” Statistics in Medicine 32:67–80.
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.
Saito, T., and Rehmsmeier, M. (2015). “The Precision-Recall Plot Is More Informative Than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets.” PloS ONE 10:e0118432.
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.
SAS Institute Inc. (2015). “Sample 54866: Logistic Model Selection Using Area under Curve (AUC) or R-Square Selection Criteria.” SAS Institute Inc., Cary, NC. http://support.sas.com/kb/54/866.html.
Smith, T. J., and McKenna, C. M. (2013). “A Comparison of Logistic Regression Pseudo R2 Indices.” Multiple Linear Regression Viewpoints 39:17–26.
Spiegelhalter, D. J. (1986). “Probabilistic Prediction in Patient Management and Clinical Trials.” Statistics in Medicine 5:421–433.
Stokes, M. E., Davis, C. S., and Koch, G. G. (2000). Categorical Data Analysis Using the SAS System. 2nd ed. Cary, NC: SAS Institute Inc.
Stokes, M. E., Davis, C. S., and Koch, G. G. (2012). Categorical Data Analysis Using SAS. 3rd ed. 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.
Stukel, T. A. (1988). “Generalized Logistic Models.” Journal of the American Statistical Association 83:426–431.
Tjur, T. (2009). “Coefficients of Determination in Logistic Regression Models—a New Proposal: The Coefficient of Discrimination.” American Statistician 63:366–372.
Veall, M. R., and Zimmermann, K. F. (1996). “Pseudo-R2 Measures for Some Common Limited Dependent Variable Models.” Journal of Economic Surveys 10:241–259.
Venzon, D. J., and Moolgavkar, S. H. (1988). “A Method for Computing Profile-Likelihood-Based Confidence Intervals.” Journal of the Royal Statistical Society, Series C 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.
White, H. (1982). “Maximum Likelihood Estimation of Misspecified Models.” Econometrica 50:1–25.
Williams, C. K. I. (2021). “The Effect of Class Imbalance on Precision-Recall Curves.” Neural Computation 33:853–857.
Williams, D. A. (1982). “Extra-binomial Variation in Logistic Linear Models.” Journal of the Royal Statistical Society, Series C 31:144–148.
Windmeijer, F. A. G. (1995). “Goodness-of-Fit Measures in Binary Choice Models.” Econometric Reviews 14:101–116.
Wooldridge, J. M. (2002). Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: MIT Press.
Youden, W. J. (1950). “Index for Rating Diagnostic Tests.” Cancer 3:32–35.
Zamar, D., McNeney, B., , and Graham, J. (2007). “elrm: Software Implementing Exact-Like Inference for Logistic Regression Models.” Journal of Statistical Software 21:1–18.
Zweig, M. H., and Campbell, G. (1993). “Receiver-Operating Characteristic (ROC) Plots: A Fundamental Evaluation Tool in Clinical Medicine.” Clinical Chemistry 39:561–577.