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<図書>
Multilevel modelling of health statistics

責任表示 edited by A.H. Leyland, H. Goldstein
シリーズ Wiley series in probability and mathematical statistics
データ種別 図書
出版情報 Chichester : John Wiley , c2001
本文言語 英語
大きさ xvii, 217 p. : ill., maps ; 24 cm
概要 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 underta...en 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. * First book to focus on multilevel modelling for health and medical research * Covers the majority of analytical techniques required by health care professionals * Unifies the literature on multilevel modelling for medical and health researchers * 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 続きを見る

所蔵情報



理系図3F 数理独自 P 001/MULT/2 2001
023212001001875

書誌詳細

一般注記 Bibliography: p. [205]-212
Includes index
著者標目 Leyland, A. H. (Alastair H.)
Goldstein, Harvey
件 名 LCSH:Health statistics
LCSH:Multivariate analysis
LCSH:Linear models (Statistics)
分 類 LCC:RA409
DC21:614.4/2/021
書誌ID 1001388352
ISBN 0471998907
NCID BA50952612
巻冊次 ISBN:0471998907
登録日 2009.11.02
更新日 2018.04.11

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