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Multilevel Modelling for Public Health and Health Services Research Health in Context /

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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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Bibliographic Details
Main Authors: Leyland, Alastair H. (Author), Groenewegen, Peter P. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Subjects:
Public health.
Medical care.
Sociology > Methodology.
Epidemiology.
Biometry.
Public Health.
Health Care.
Sociological Methods.
Biostatistics.
Online Access:Link to Metadata
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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.

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