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Books > Social sciences > Sociology, social studies > Social research & statistics
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Multilevel Modelling for Public Health and Health Services Research - Health in Context (Hardcover, 1st ed. 2020)
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Multilevel Modelling for Public Health and Health Services Research - Health in Context (Hardcover, 1st ed. 2020)
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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 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
General
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