LEADER 03231nam 22005415 450 001 9910887880803321 005 20250413132122.0 010 $a3-031-62427-0 024 7 $a10.1007/978-3-031-62427-8 035 $a(CKB)35369760000041 035 $a(MiAaPQ)EBC31679490 035 $a(Au-PeEL)EBL31679490 035 $a(DE-He213)978-3-031-62427-8 035 $a(EXLCZ)9935369760000041 100 $a20240915d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModeling Binary Correlated Responses $eUsing SAS, SPSS, R and STATA /$fby Jeffrey R. Wilson, Kent A. Lorenz, Lori P. Selby 205 $a2nd ed. 2024. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2024. 215 $a1 online resource (297 pages) 225 1 $aICSA Book Series in Statistics,$x2199-0999 311 08$a3-031-62426-2 327 $aIntroduction to Binary logistic Regression -- Growth of the Logistic Regression Model -- Standard Binary Logistic Regression Model -- Overdispersed Logistic Regression Model -- Weighted Logistic Regression Model -- Generalized Estimating Equations Logistic Regression -- Generalized Method of Moments logistic regression Model -- Exact Logistic Regression Model -- Two-Level Nested Logistic Regression Model -- Hierarchical Logistic Regression models -- Fixed Effects Logistic Regression Model -- Heteroscedastic Logistic Regression Model. 330 $aThis book is an updated edition of Modeling Binary Correlated Responses Using SAS, SPSS and R, and now it includes the use of STATA. It uses these Statistical tools to analyze correlated binary data, accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages, as well as showcase both traditional and new methods for application to health-related research. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects. Short tutorials are in the appendix, for readers interested in learning more about the languages. Data and computer programs will be publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book. The inclusion of code for R, SAS, SPSS and STATA, allows for easy implementation by readers. Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful. 410 0$aICSA Book Series in Statistics,$x2199-0999 606 $aStatistics 606 $aBiometry 606 $aStatistical Theory and Methods 606 $aBiostatistics 615 0$aStatistics. 615 0$aBiometry. 615 14$aStatistical Theory and Methods. 615 24$aBiostatistics. 676 $a300.15195 700 $aWilson$b Jeffrey R$0755664 701 $aLorenz$b Kent A$0755665 701 $aSelby$b Lori P$01770814 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910887880803321 996 $aModeling Binary Correlated Responses$94254585 997 $aUNINA