UID:
kobvindex_HPB1142890035
Format:
1 online resource (1 PDF file (xvi, 286 pages)) :
,
illustrations
ISBN:
9783030348014
,
3030348016
,
9783030348007
,
3030348008
Content:
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.
Note:
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.
Additional Edition:
ISBN 3030347990
Additional Edition:
ISBN 9783030347994
Language:
English
DOI:
10.1007/978-3-030-34801-4
URL:
http://www.ncbi.nlm.nih.gov/books/NBK565715/
URL:
https://link.springer.com/10.1007/978-3-030-34801-4
URL:
Click here to view book
