LEADER 06524nam 22009495 450 001 9910380727303321 005 20230125215448.0 010 $a3-030-34801-6 024 7 $a10.1007/978-3-030-34801-4 035 $a(CKB)4100000010480416 035 $a(DE-He213)978-3-030-34801-4 035 $a(MiAaPQ)EBC6126427 035 $a(Au-PeEL)EBL6126427 035 $a(OCoLC)1142890035 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/35647 035 $a(PPN)242981518 035 $a(EXLCZ)994100000010480416 100 $a20200228d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMultilevel Modelling for Public Health and Health Services Research$b[electronic resource] $eHealth in Context /$fby Alastair H. Leyland, Peter P. Groenewegen 205 $a1st ed. 2020. 210 $cSpringer Nature$d2020 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XVII, 288 p. 143 illus., 103 illus. in color.) 311 $a3-030-34799-0 327 $aPart I: Theoretical, conceptual and methodological background -- Chapter 1: Introduction -- Chapter 2: Health in context -- Chapter 3: What is multilevel modelling? -- Chapter 4: Multilevel data structures -- Part II: Statistical background -- Chapter 5: Graphs and equations -- Chapter 6: Apportioning variation in multilevel models -- Part III: The modelling process and presentation of research -- Chapter 7: Context, composition and how their influences vary -- Chapter 8: Ecometrics: Using MLA to construct contextual variables from individual data -- Chapter 9: Modelling strategies -- Chapter 10: Reading and writing -- Part IV: Tutorials with example datasets -- Chapter 11: Multilevel linear regression using MLwiN: Mortality in England and Wales, 1979-1992 -- Chapter 12. Multilevel logistic regression using MLwiN: Referrals to physiotherapy -- Chapter 13. Untangling context and composition using MLwiN: Incidence of cardiovascular disease in small areas in Scotland. 330 $aThis open access book is a practical introduction to multilevel modelling or multilevel analysis (MLA) ? a statistical technique being increasingly used in public health and health services research. The authors begin with a compelling argument for the importance of researchers in these fields having an understanding of MLA to be able to judge not only the growing body of research that uses it, but also to recognise the limitations of research that did not use it. The volume also guides the analysis of real-life data sets by introducing and discussing the use of the multilevel modelling software MLwiN, the statistical package that is used with the example data sets. Importantly, the book also makes the training material accessible for download ? not only the datasets analysed within the book, but also a freeware version of MLwiN to allow readers to work with these datasets. The book?s practical review of MLA comprises: Theoretical, conceptual, and methodological background Statistical background The modelling process and presentation of research Tutorials with example datasets Multilevel Modelling for Public Health and Health Services Research: Health in Context is a practical and timely resource for public health and health services researchers, statisticians interested in the relationships between contexts and behaviour, graduate students across these disciplines, and anyone interested in utilising multilevel modelling or multilevel analysis. ?Leyland and Groenewegen?s wealth of teaching experience makes this book and its accompanying tutorials especially useful for a practical introduction to multilevel analysis.? ? Juan Merlo, Professor of Social Epidemiology, Lund University ?Comprehensive and insightful. A must for anyone interested in the applications of multilevel modelling to population health?. ? S. (Subu) V. Subramanian, Professor of Population Health and Geography, Harvard University. 606 $aPublic health 606 $aMedical care 606 $aSociology?Research 606 $aEpidemiology 606 $aStatistics  606 $aPublic Health$3https://scigraph.springernature.com/ontologies/product-market-codes/H27002 606 $aHealth Services Research$3https://scigraph.springernature.com/ontologies/product-market-codes/H81000 606 $aResearch Methodology$3https://scigraph.springernature.com/ontologies/product-market-codes/X22190 606 $aEpidemiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H63000 606 $aStatistics for Life Sciences, Medicine, Health Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17030 610 $aPublic Health 610 $aHealth Services Research 610 $aResearch Methodology 610 $aEpidemiology 610 $aStatistics for Life Sciences, Medicine, Health Sciences 610 $aHealth Sciences 610 $aSociological Methods 610 $aStatistics in Life Sciences, Medicine, Health Sciences 610 $aMLwiN 610 $aepidemiological methods 610 $ahealth services research methodology 610 $amultilevel analysis 610 $amultilevel modelling 610 $astatistical methods for public health research 610 $aOpen Access 610 $aPublic health & preventive medicine 610 $aHealth systems & services 610 $aSocial research & statistics 610 $aEpidemiology & medical statistics 610 $aProbability & statistics 615 0$aPublic health. 615 0$aMedical care. 615 0$aSociology?Research. 615 0$aEpidemiology. 615 0$aStatistics . 615 14$aPublic Health. 615 24$aHealth Services Research. 615 24$aResearch Methodology. 615 24$aEpidemiology. 615 24$aStatistics for Life Sciences, Medicine, Health Sciences. 676 $a613 676 $a614 700 $aLeyland$b Alastair H$4aut$4http://id.loc.gov/vocabulary/relators/aut$0280991 702 $aGroenewegen$b Peter P$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910380727303321 996 $aMultilevel Modelling for Public Health and Health Services Research$92229535 997 $aUNINA