000 03499nam a22004815i 4500
001 vtls000560787
003 RU-ToGU
005 20210922090211.0
007 cr nn 008mamaa
008 170212s2015 gw | s |||| 0|eng d
020 _a9783319238050
_9978-3-319-23805-0
024 7 _a10.1007/978-3-319-23805-0
_2doi
035 _ato000560787
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aWilson, Jeffrey R.
_eauthor.
_9467389
245 1 0 _aModeling Binary Correlated Responses using SAS, SPSS and R
_helectronic resource
_cby Jeffrey R. Wilson, Kent A. Lorenz.
260 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXXIII, 264 p. 26 illus., 22 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aICSA Book Series in Statistics,
_x2199-0980 ;
_v9
505 0 _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.
520 _aStatistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related research. 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, and SPSS allows for easy implementation by readers. For readers interested in learning more about the languages, though, there are short tutorials in the appendix. Accompanying data sets are available for download through the book s website. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects.  Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.
650 0 _aStatistics.
_9124796
650 0 _aBiostatistics.
_9413970
650 1 4 _aStatistics.
_9124796
650 2 4 _aStatistical Theory and Methods.
_9303276
650 2 4 _aBiostatistics.
_9413970
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
_9265982
700 1 _aLorenz, Kent A.
_eauthor.
_9467390
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aICSA Book Series in Statistics,
_9464396
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-23805-0
912 _aZDB-2-SMA
999 _c415119