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Item Details
Title: MULTILEVEL MODELLING OF HEALTH STATISTICS
By: A. H. Leyland (Editor), Harvey Goldstein (Editor)
Format: Hardback

List price: £136.95


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ISBN 10: 0471998907
ISBN 13: 9780471998907
Publisher: JOHN WILEY AND SONS LTD
Pub. date: 16 February, 2001
Series: Wiley Series in Probability & Statistics: Applied Probability & Statistics
Pages: 246
Description: 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.
Synopsis: 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. aeo First book to focus on multilevel modelling for health and medical research aeo Covers the majority of analytical techniques required by health care professionals aeo Unifies the literature on multilevel modelling for medical and health researchers aeo Each contribution comes from a specialist in that area Guiding the reader through various stages, from a basic introduction through to methodological extensions and generalised linear models, this test will show how various kinds of data can be analysed in a multilevel framework. Important statistical concepts, such as sampling and outliers, are covered specifically for multilevel data.Repeated measures, outliers, institutional performance, and spatial analysis, which have great relevance to health and medical research, are all examined for multilevel models. The book is aimed at health care professionals and public health researchers interested in the application of statistics, and will also be of interest to postgraduate students studying medical statistics. Wiley Series in Probability and Statistics
Illustrations: Ill.
Publication: UK
Imprint: John Wiley & Sons Ltd
Returns: Returnable
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