Logistic regression models. (©2009)
- Record Type:
- Book
- Title:
- Logistic regression models. (©2009)
- Main Title:
- Logistic regression models
- Further Information:
- Note: Joseph M. Hilbe.
- Other Names:
- Hilbe, Joseph M, 1944-
- Contents:
- Preface; Introduction; The 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 Model; Modeling a Quantitative Predictor; Logistic Modeling Designs; Estimation Methods ; Derivation of the IRLS Algorithm; IRLS Estimation; Maximum Likelihood Estimation; Derivation of the Binary Logistic Algorithm ; Terms of the Algorithm; Logistic GLM and ML Algorithms; Other Bernoulli Models; Model Development ; Building a Logistic Model; Assessing Model Fit: Link Specification; Standardized Coefficients; Standard Errors; Odds Ratios as Approximations of Risk Ratios; Scaling of Standard Errors; Robust Variance Estimators; Bootstrapped and Jackknifed Standard Errors; Stepwise Methods; Handling Missing Values; Modeling an Uncertain Response; Constraining Coefficients; Interactions; Introduction; Binary X Binary Interactions; Binary X Categorical Interactions; Binary X Continuous Interactions; Categorical X Continuous Interaction; Thoughts about Interactions; Analysis of Model Fit ; Traditional Fit Tests for Logistic Regression; Hosmer–Lemeshow GOF Test; Information Criteria Tests; Residual Analysis; Validation Models; Binomial Logistic Regression; Overdispersion ; Introduction; The Nature and Scope of Overdispersion; Binomial Overdispersion; Binary Overdispersion; Real Overdispersion; Concluding Remarks; Ordered Logistic Regression ; Introduction; ThePreface; Introduction; The 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 Model; Modeling a Quantitative Predictor; Logistic Modeling Designs; Estimation Methods ; Derivation of the IRLS Algorithm; IRLS Estimation; Maximum Likelihood Estimation; Derivation of the Binary Logistic Algorithm ; Terms of the Algorithm; Logistic GLM and ML Algorithms; Other Bernoulli Models; Model Development ; Building a Logistic Model; Assessing Model Fit: Link Specification; Standardized Coefficients; Standard Errors; Odds Ratios as Approximations of Risk Ratios; Scaling of Standard Errors; Robust Variance Estimators; Bootstrapped and Jackknifed Standard Errors; Stepwise Methods; Handling Missing Values; Modeling an Uncertain Response; Constraining Coefficients; Interactions; Introduction; Binary X Binary Interactions; Binary X Categorical Interactions; Binary X Continuous Interactions; Categorical X Continuous Interaction; Thoughts about Interactions; Analysis of Model Fit ; Traditional Fit Tests for Logistic Regression; Hosmer–Lemeshow GOF Test; Information Criteria Tests; Residual Analysis; Validation Models; Binomial Logistic Regression; Overdispersion ; Introduction; The Nature and Scope of Overdispersion; Binomial Overdispersion; Binary Overdispersion; Real Overdispersion; Concluding Remarks; Ordered Logistic Regression ; Introduction; The Proportional Odds Model; Generalized Ordinal Logistic Regression; Partial Proportional Odds; Multinomial Logistic Regression ; Unordered Logistic Regression; Independence of Irrelevant Alternatives; Comparison to Multinomial Probit; Alternative Categorical Response Models ; Introduction; Continuation Ratio Models; Stereotype Logistic Model; Heterogeneous Choice Logistic Model; Adjacent Category Logistic Model; Proportional Slopes Models; Panel Models ; Introduction; Generalized Estimating Equations; Unconditional Fixed Effects Logistic Model; Conditional Logistic Models; Random Effects and Mixed Models Logistic Regression; Other Types of Logistic-Based Models; Survey Logistic Models; Scobit-Skewed Logistic Regression; Discriminant Analysis; Exact Logistic Regression ; Exact Methods; Alternative Modeling Methods; Conclusion; 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 Index; Exercises and R Code appear at the end of most chapters. … (more)
- Publisher Details:
- Boca Raton : CRC Press
- Publication Date:
- 2009
- Copyright Date:
- 2009
- Extent:
- 1 online resource (xviii, 637 pages), illustrations
- Subjects:
- 519.536
Logistic regression analysis -- Data processing
Electronic books - Languages:
- English
- ISBNs:
- 9781420075779
1420075772 - Notes:
- Note: Includes bibliographical references (pages 613-623) and indexes.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.148397
- Ingest File:
- 01_088.xml