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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Table of 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.