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008			200228s2020 sz a s |||| 0|eng d
020			_a9783030348014
024	7		_a10.1007/978-3-030-34801-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRA409 _b2020 EB
100	1		_aLeyland, A. H. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685709 _q(Alastair H.)
245	1	0	_aMultilevel Modelling for Public Health and Health Services Research : _bHealth in Context _cby Alastair H. Leyland, Peter P. Groenewegen
250			_a1st edition 2020
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XVII, 286 páginas) _b145 ilustraciones, 110 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_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.
506	0		_aOpen Access
520			_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.
988			_aSpringer_Medicine_2020
650		7	_2embne _9147452 _aModelos lineales (Estadística)
650		7	_9211610 _aSalud pública _xInvestigación
650		7	_9175071 _aEpidemiología _xMétodos estadísticos _2embne
700	1		_aGroenewegen, P. P. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _968392
776	0	8	_iPrinted edition: _z9783030347994
776	0	8	_iPrinted edition: _z9783030348007
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-34801-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b12/2022 _dz _esc _zSI