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Multilevel modelling of health statistics

Author: A H Leyland; Harvey Goldstein
Publisher: Chichester ; New York : Wiley, ©2001.
Series: Wiley series in probability and statistics.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
Multilevel modelling facilitates the analysis of hierarchical data where observations may be nested within higher levels of classification. In health care research, for example, a study may be undertaken to determine the variability of patient outcomes where these also vary by hospital or health care region. Inference can then be made on the efficacy of health care practices. This book provides the reader with the  Read more...
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Details

Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: A H Leyland; Harvey Goldstein
ISBN: 0471998907 9780471998907
OCLC Number: 44578888
Description: xvii, 217 pages : illustrations, maps ; 24 cm.
Contents: Multilevel Data and Their Analysis / M.J.R. Healy --
Models for multilevel data --
A variance components model --
A random coefficient model --
The log likelihood --
Residuals --
Dummy variables and interactions --
Structures with complex variation --
Modelling Repeated Measurements / H. Goldstein, G. Woodhouse --
A two-level repeated measures model --
A polynomial model example for adolescent growth in height and bone age together with adult height --
Modelling an autocorrelation structure at level 1 --
A growth model with autocorrelated residuals --
Multivariate repeated measures models --
Crossover designs --
Discrete response data --
Missing data --
Binomial Regression / N. Rice --
Geographical variations --
Uptake of immunisation --
Interpractitioner variation in prescribing --
Child mortality --
General practitioner incentives --
Competition amongst general practitioners --
Linear multilevel models --
Binary responses --
Binary and proportion responses --
Multilevel models for binary and binomial data --
Binary response --
Proportions as responses --
Extra-binomial variation and model diagnostics --
Example: investigation of equity in health care --
Data --
Estimation --
Poisson Regression / I.H. Langford, R.J. Day --
Testis cancer mortality in the European Community --
Weekly incidence of food poisoning in England and Wales --
Multivariate Multilevel Models / A. McLeod --
Multivariate data --
Multivariate regression --
The multivariate linear model --
Example 1: blood pressure in a low-birthweight cohort.
Series Title: Wiley series in probability and statistics.
Responsibility: edited by A.H. Leyland, H. Goldstein.
More information:

Abstract:

Multilevel modelling facilitates the analysis of hierarchical data where observations may be nested within higher levels of classification. In health care research, for example, a study may be undertaken to determine the variability of patient outcomes where these also vary by hospital or health care region. Inference can then be made on the efficacy of health care practices. This book provides the reader with the analytical techniques required to study such data sets.

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