Logistic Regression Models (Paperback)

PrefaceIntroductionThe Normal Model Foundation of the Binomial Model Historical and Software Considerations Chapter Profiles Concepts Related to the Logistic Model 2 × 2 Table Logistic Model 2 × k Table Logistic ModelModeling a Quantitative Predictor Logistic Modeling DesignsEstimation Methods Derivation of the IRLS Algorithm IRLS EstimationMaximum Likelihood EstimationDerivation of the Binary Logistic Algorithm Terms of the Algorithm Logistic GLM and ML Algorithms Other Bernoulli ModelsModel Development Building a Logistic ModelAssessing Model Fit: Link SpecificationStandardized Coefficients Standard ErrorsOdds Ratios as Approximations of Risk RatiosScaling of Standard Errors Robust Variance Estimators Bootstrapped and Jackknifed Standard Errors Stepwise Methods Handling Missing Values Modeling an Uncertain Response Constraining CoefficientsInteractionsIntroduction Binary X Binary Interactions Binary X Categorical Interactions Binary X Continuous InteractionsCategorical X Continuous InteractionThoughts about InteractionsAnalysis of Model Fit Traditional Fit Tests for Logistic Regression Hosmer?Lemeshow GOF Test Information Criteria TestsResidual AnalysisValidation ModelsBinomial Logistic Regression Overdispersion Introduction The Nature and Scope of Overdispersion Binomial OverdispersionBinary Overdispersion Real Overdispersion Concluding RemarksOrdered Logistic Regression Introduction The Proportional Odds Model Generalized Ordinal Logistic Regression Partial Proportional OddsMultinomial Logistic Regression Unordered Logistic RegressionIndependence of Irrelevant Alternatives Comparison to Multinomial ProbitAlternative Categorical Response Models Introduction Continuation Ratio Models Stereotype Logistic Model Heterogeneous Choice Logistic Model Adjacent Category Logistic Model Proportional Slopes ModelsPanel Models Introduction Generalized Estimating EquationsUnconditional Fixed Effects Logistic Model Conditional Logistic Models Random Effects and Mixed Models Logistic RegressionOther Types of Logistic-Based ModelsSurvey Logistic Models Scobit-Skewed Logistic Regression Discriminant AnalysisExact Logistic Regression Exact Methods Alternative Modeling MethodsConclusion Appendix A: Brief Guide to Using Stata Commands Appendix B: Stata and R Logistic Models Appendix C: Greek Letters and Major Functions Appendix D: Stata Binary Logistic Command Appendix E: Derivation of the Beta-Binomial Appendix F: Likelihood Function of the Adaptive Gauss?Hermite Quadrature Method of Estimation Appendix G: Data Sets Appendix H: Marginal Effects and Discrete Change References Author Index Subject IndexExercises and R Code appear at the end of most chapters.