LEADER 03656oam  2200409   450 
001 9910813185103321
005 20230630000007.0
010   $a1-119-72262-4
010   $a1-119-72268-3
010   $a1-119-72264-0
035   $a(CKB)4100000011744683
035   $a(MiAaPQ)EBC6465882
035   $a(OCoLC)1159617537
035   $a(EXLCZ)994100000011744683
100   $a20210629d2021      uy             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aIntroduction to biostatistical applications in health research with Microsoft Office Excel and R /$fRobert P. Hirsch
205   $aSecond edition.
210  1$aHoboken, New Jersey :$cWiley,$d[2021]
210  4$d©2021
215   $a1 online resource (640 pages)
311   $a1-119-72259-4 
327   $aThinking about chance -- Describing populations -- Examining samples -- Univariable analysis of a continuous dependent variable -- Univariable analysis of an ordinal dependent variable -- Univariable analysis of a nominal dependent variable -- Bivariable analysis of a continuous dependent variable -- Bivariable analysis of an ordinal dependent variable -- Bivariable analysis of a nominal dependent variable -- Multivariable analysis of a continuous dependent variable -- Multivariable analysis of an ordinal dependent variable -- Multivariable analysis of a nominal dependent variable -- Testing Assumptions.
330   $a"Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel, 2e provides statistical concepts for interpreting results using Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels. Some updates for this new edition: The flowcharts from the first edition will be expanded to include indicators of the assumptions of each procedure. This will be added to facilitate selection of a statistical approach to analyze a particular set of data. The existing twelve chapters describing statistical principals and statistical methods will be maintained. They have been proven to provide students with a clear and useful approach to the subject in use as a textbook and workbook in a graduate statistics course. An additional chapter will be added to the book that discusses the assumptions of statistical procedures. This chapter will describe each assumption, tell how to determine if the assumption is appropriate for a particular set of data, and provide solutions to situations in which the assumptions are not me by the data set. This chapter will provide students and researchers with the information they need to select an appropriate method of analysis and to apply that method to a set of data. The workbook will include a corresponding chapter that will provide students with practice identifying assumptions, testing for their satisfaction, and applying solutions to violation of assumptions. R will also be included to broaden the appeal and audience for the book"--$cProvided by publisher.
676   $a005.369
700   $aHirsch$b Robert P.$01632728
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bUtOrBLW
906   $aBOOK
912   $a9910813185103321
996   $aIntroduction to biostatistical applications in health research with Microsoft Office Excel and R$93972096
997   $aUNINA