Electronic Resource

Multilevel Modelling for Public Health and Health Services Research

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.

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Detail Information

Series Title

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Call Number

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Publisher

: Springer Cham., 2020

Collation

XVII, 286 hlm; ill., lamp.,

Language

English

ISBN/ISSN

9783030348014

Classification

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Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Public Health
Research Methodology
Statistics for Life Sciences

Health Services Research

Specific Detail Info

Is a must-read resource for researchers and students with a basic mastery of ordinary least squares and logistic regression Discusses multilevel analysis in the context of public health and health services research and epidemiology Includes an online component where users can download the datasets analysed in the book and also a freeware version of the multilevel modelling software MLwiN Can be used as part of a course on multilevel modelling or as a self-training text

Statement of Responsibility

Alastair H. Leyland , Peter P. Groenewegen

Other Information

Cataloger

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Source

https://link.springer.com/book/10.1007/978-3-030-34801-4

Validator

ida

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-030-34801-4

Journal Volume

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Journal Issue

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Subtitle

-

Parallel Title

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