Multilevel Modelling of Health Statistics

A. H. Leyland, Harvey Goldstein (Herausgeber)

Buch | Hardcover

248 Seiten

2001
John Wiley & Sons Inc (Verlag)
978-0-471-99890-7 (ISBN)

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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.
* 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

A. H. Leyland Public Health Research Unit, University of Glasgow, UK H. Goldstein Institute of Education, University of London, UK

Preface.

Contributors.

Introduction.

Multilevel Data and Their Analysis (M. Healy).

Modelling Repeated Measurements (H. Glodstein and G. Woodhouse).

Binomial Regression (N. Rice).

Poisson Regression (I. Langford and R. Day).

Multivariate Multilevel Models (A. McLeod).

Outliers, Robustness and the Detection of Discrepant Data (T. Lewis and I. Langford).

Modelling Non-Hierarchical Structures (J. Rasbash and W. Browne).

Multinomial Regression (M. Yang).

Institutional Performance (E. Marshall and D. Spiegelhalter).

Spatial Analysis (A. Leyland).

Sampling (T. Snijders).

Further Topics in Multilevel Modelling (H. Goldstein and A. Leyland).

Software for Multilevel Analysis (J. de Leeuw and I. Kreft).

References.

Index.

Erscheint lt. Verlag	16.2.2001
Reihe/Serie	Wiley Series in Probability and Statistics
Verlagsort	New York
Sprache	englisch
Maße	157 x 235 mm
Gewicht	539 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Statistik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Medizin / Pharmazie ► Gesundheitswesen
	Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie
ISBN-10	0-471-99890-7 / 0471998907
ISBN-13	978-0-471-99890-7 / 9780471998907
Zustand	Neuware