Multilevel Modelling for Public Health and Health Services Research : : Health in Context / / by Alastair H. Leyland, Peter P. Groenewegen.
This 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 havin...
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Place / Publishing House: | Cham : : Springer International Publishing :, Imprint: Springer,, 2020. |
Year of Publication: | 2020 |
Edition: | 1st ed. 2020. |
Language: | English |
Physical Description: | 1 online resource (XVII, 288 p. 143 illus., 103 illus. in color.) |
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Leyland, Alastair H. author. aut http://id.loc.gov/vocabulary/relators/aut Multilevel Modelling for Public Health and Health Services Research : Health in Context / by Alastair H. Leyland, Peter P. Groenewegen. 1st ed. 2020. Springer Nature 2020 Cham : Springer International Publishing : Imprint: Springer, 2020. 1 online resource (XVII, 288 p. 143 illus., 103 illus. in color.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Part 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. This 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. Description based on publisher supplied metadata and other sources. English Public health. Medical care. Sociology—Research. Epidemiology. Statistics . Public Health. https://scigraph.springernature.com/ontologies/product-market-codes/H27002 Health Services Research. https://scigraph.springernature.com/ontologies/product-market-codes/H81000 Research Methodology. https://scigraph.springernature.com/ontologies/product-market-codes/X22190 Epidemiology. https://scigraph.springernature.com/ontologies/product-market-codes/H63000 Statistics for Life Sciences, Medicine, Health Sciences. https://scigraph.springernature.com/ontologies/product-market-codes/S17030 Public Health Health Services Research Research Methodology Epidemiology Statistics for Life Sciences, Medicine, Health Sciences Health Sciences Sociological Methods Statistics in Life Sciences, Medicine, Health Sciences MLwiN epidemiological methods health services research methodology multilevel analysis multilevel modelling statistical methods for public health research Open Access Public health & preventive medicine Health systems & services Social research & statistics Epidemiology & medical statistics Probability & statistics Groenewegen, Peter P. author. aut http://id.loc.gov/vocabulary/relators/aut 3-030-34799-0 |
language |
English |
format |
eBook |
author |
Leyland, Alastair H. Leyland, Alastair H. Groenewegen, Peter P. |
spellingShingle |
Leyland, Alastair H. Leyland, Alastair H. Groenewegen, Peter P. Multilevel Modelling for Public Health and Health Services Research : Health in Context / Part 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. |
author_facet |
Leyland, Alastair H. Leyland, Alastair H. Groenewegen, Peter P. Groenewegen, Peter P. Groenewegen, Peter P. |
author_variant |
a h l ah ahl a h l ah ahl p p g pp ppg |
author_role |
VerfasserIn VerfasserIn VerfasserIn |
author2 |
Groenewegen, Peter P. Groenewegen, Peter P. |
author2_variant |
p p g pp ppg |
author2_role |
VerfasserIn VerfasserIn |
author_sort |
Leyland, Alastair H. |
title |
Multilevel Modelling for Public Health and Health Services Research : Health in Context / |
title_sub |
Health in Context / |
title_full |
Multilevel Modelling for Public Health and Health Services Research : Health in Context / by Alastair H. Leyland, Peter P. Groenewegen. |
title_fullStr |
Multilevel Modelling for Public Health and Health Services Research : Health in Context / by Alastair H. Leyland, Peter P. Groenewegen. |
title_full_unstemmed |
Multilevel Modelling for Public Health and Health Services Research : Health in Context / by Alastair H. Leyland, Peter P. Groenewegen. |
title_auth |
Multilevel Modelling for Public Health and Health Services Research : Health in Context / |
title_new |
Multilevel Modelling for Public Health and Health Services Research : |
title_sort |
multilevel modelling for public health and health services research : health in context / |
publisher |
Springer Nature Springer International Publishing : Imprint: Springer, |
publishDate |
2020 |
physical |
1 online resource (XVII, 288 p. 143 illus., 103 illus. in color.) |
edition |
1st ed. 2020. |
contents |
Part 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. |
isbn |
3-030-34801-6 3-030-34799-0 |
callnumber-first |
R - Medicine |
callnumber-subject |
RA - Public Medicine |
callnumber-label |
RA1-1270 |
callnumber-sort |
RA 11 41270 |
illustrated |
Not Illustrated |
dewey-hundreds |
600 - Technology |
dewey-tens |
610 - Medicine & health |
dewey-ones |
613 - Personal health & safety 614 - Incidence & prevention of disease |
dewey-full |
613 614 614.0727 |
dewey-sort |
3613 |
dewey-raw |
613 614 614.0727 |
dewey-search |
613 614 614.0727 |
oclc_num |
1142890035 |
work_keys_str_mv |
AT leylandalastairh multilevelmodellingforpublichealthandhealthservicesresearchhealthincontext AT groenewegenpeterp multilevelmodellingforpublichealthandhealthservicesresearchhealthincontext |
status_str |
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cr |
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Multilevel Modelling for Public Health and Health Services Research : Health in Context / |
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