LEADER 03978nam 2200613Ia 450 001 9910877365003321 005 20200520144314.0 010 $a1-280-28755-1 010 $a9786610287550 010 $a0-470-02372-4 010 $a0-470-02371-6 035 $a(CKB)1000000000357202 035 $a(EBL)242938 035 $a(OCoLC)299572762 035 $a(SSID)ssj0000263022 035 $a(PQKBManifestationID)11221010 035 $a(PQKBTitleCode)TC0000263022 035 $a(PQKBWorkID)10272043 035 $a(PQKB)10673823 035 $a(MiAaPQ)EBC242938 035 $a(EXLCZ)991000000000357202 100 $a20090804d2004 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aTutorials in biostatistics$hVolume 2$iStatistical modelling of complex medical data /$fedited by R.B. D'Agostino 210 $aChichester, West Sussex ;$aHoboken, N.J. $cJohn Wiley & Sons$dc2004 215 $a1 online resource (498 p.) 300 $aDescription based upon print version of record. 311 $a0-470-02370-8 320 $aIncludes bibliographical references and index. 327 $aTutorials in Biostatistics; Contents; Preface; Preface to Volume 2; Part I MODELLING A SINGLE DATA SET; 1.1 Clustered Data; Extending the Simple Linear Regression Model to Account for Correlated Responses: An Introduction to Generalized Estimating Equations and Multi-Level Mixed Modelling.; 1.2 Hierarchical Modelling; An Introduction to Hierarchical Linear Modelling.; Multilevel Modelling of Medical Data.; Hierarchical Linear Models for the Development of Growth Curves: An Example with Body Mass Index in Overweight /Obese Adults.; 1.3 Mixed Models 327 $aUsing the General Linear Mixed Model to Analyse Unbalanced Repeated Measures and Longitudinal Data.Modelling Covariance Structure in the Analysis of Repeated Measures Data.; Covariance Models for Nested Repeated Measures Data: Analysis of Ovarian Steroid Secretion Data.; 1.4 Likelihood Modelling; Likelihood Methods for Measuring Statistical Evidence.; Part II MODELLING MULTIPLE DATA SETS: META-ANALYSIS; Meta-Analysis: Formulating, Evaluating, Combining, and Reporting.; Advanced Methods in Meta-Analysis: Multivariate Approach and Meta-Regression. 327 $aPart III MODELLING GENETIC DATA: STATISTICAL GENETICSGenetic Epidemiology: A Review of the Statistical Basis.; Genetic Mapping of Complex Traits.; A Statistical Perspective on Gene Expression Data Analysis.; Part IV DATA REDUCTION OF COMPLEX DATA SETS; Statistical Approaches to Human Brain Mapping by Functional Magnetic Resonance Imaging.; Disease Map Reconstruction.; PART V SIMPLIFIED PRESENTATION OF MULTIVARIATE DATA; Presentation of Multivariate Data for Clinical Use: The Framingham Study Risk Score Functions.; Index 330 $aThe Tutorials in Biostatistics have become a very popular feature of the prestigious Wiley journal, Statistics in Medicine (SIM). The introductory style and practical focus make them accessible to a wide audience including medical practitioners with limited statistical knowledge. This book represents the second of two volumes presenting the best tutorials published in SIM, focusing on statistical modeling of complex data. Topics include clustered data, hierarchical models, mixed models, genetic modeling, and meta-analysis. Each tutorial is focused on a medical problem, has been 606 $aMedicine$xResearch$xStatistical methods 606 $aMedical statistics 606 $aBiometry 615 0$aMedicine$xResearch$xStatistical methods. 615 0$aMedical statistics. 615 0$aBiometry. 676 $a519.502461 676 $a610.727 676 $a610/.7/27 701 $aD'Agostino$b Ralph B$027696 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910877365003321 996 $aTutorials in biostatistics$94189045 997 $aUNINA