LEADER 03733oam 2200697I 450 001 9910961665103321 005 20251116235312.0 010 $a9781040069127 010 $a1040069126 010 $a9780429149139 010 $a0429149131 010 $a9781420075779 010 $a1420075772 024 7 $a10.1201/9781420075779 035 $a(CKB)3710000000391508 035 $a(EBL)1633158 035 $a(SSID)ssj0001459331 035 $a(PQKBManifestationID)12616293 035 $a(PQKBTitleCode)TC0001459331 035 $a(PQKBWorkID)11457378 035 $a(PQKB)10829678 035 $a(Au-PeEL)EBL1633158 035 $a(CaPaEBR)ebr11167286 035 $a(OCoLC)908078815 035 $a(OCoLC)1000427446 035 $a(FINmELB)ELB140801 035 $a(MiAaPQ)EBC1633158 035 $a(EXLCZ)993710000000391508 100 $a20180706d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLogistic regression models /$fJoseph M. Hilbe 205 $a1st ed. 210 1$aBoca Raton :$cChapman & Hall/CRC,$d2009. 215 $a1 online resource (658 p.) 225 1 $aChapman & Hall/CRC texts in Statistical Science Series 225 0 $aA Chapman & Hall Book 300 $aDescription based upon print version of record. 311 08$a9781138106710 311 08$a1138106712 311 08$a9781420075755 311 08$a1420075756 320 $aIncludes bibliographical references and index. 327 $aFront cover; Contents; Preface; Chapter 1. Introduction; Chapter 2. Concepts Related to the Logistic Model; Chapter 3. Estimation Methods; Chapter 4. Derivation of the Binary Logistic Algorithm; Chapter 5. Model Development; Chapter 6. Inteactions; Chapter 7. Analysis of Model Fit; Chapter 8. Binomial Logistic Regression; Chapter 9. Overdispersion; Chapter 10. Ordered Logistic Regression; Chapter 11. Multinomial Logistic Regression; Chapter 12. Alternative Categorical Response Models; Chapter 13. Panel Models; Chapter 14. Other Types of Logistic-Based Models 327 $aChapter 15. Exact Logistic RegressionConclusion; 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; Back cover 330 $aThis text presents an overview of the full range of logistic models, including binary, proportional, ordered, and categorical response regression procedures. It illustrates how to apply the models to medical, health, environmental/ecological, physical, and social science data. Stata is used to develop, evaluate, and display most models while R code is given at the end of most chapters. The author examines the theoretical foundation of the models and describes how each type of model is established, interpreted, and evaluated as to its goodness of fit. Example data sets are available online in various formats and a solutions manual is available upon qualifying course adoption. 410 0$aTexts in statistical science. 606 $aLogistic regression analysis$xData processing 615 0$aLogistic regression analysis$xData processing. 676 $a519.5/36 700 $aHilbe$b Joseph M.$f1944-$0281747 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910961665103321 996 $aLogistic regression models$970080 997 $aUNINA