Methods for Investigating Localized Clustering of Disease

Editor F. E. Alexander

Oxford University Press | February 1, 1997 | Trade Paperback

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Methods of investigating generalized spatial clustering of disease in human populations have only recently become available. This volume presents the outcome of a unique practical test of these methods, in which authors of several newly developed approaches evaluate their own blind analyses of over 50 artificial datasets, some random, some generated by clustering processes. Results were then compared with the known spatial structure. An historical view of leukemia clustering is also included. This book will be of particular interest to epidemiologists and public health specialists with responsibliity of analysing childhood leukemia and other rare diseases for which the phenomenon of clustering may offer important clues to aetiology. It will also be useful for statisticians with an interest in analysis of spatial distributions of rare disease.

Format: Trade Paperback

Dimensions: 264 pages, 9.45 × 6.89 × 0.68 in

Published: February 1, 1997

Publisher: Oxford University Press

The following ISBNs are associated with this title:

ISBN - 10: 9283221354

ISBN - 13: 9789283221357

Found in: Epidemiology

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Methods for Investigating Localized Clustering of Disease

Editor F. E. Alexander

Format: Trade Paperback

Dimensions: 264 pages, 9.45 × 6.89 × 0.68 in

Published: February 1, 1997

Publisher: Oxford University Press

The following ISBNs are associated with this title:

ISBN - 10: 9283221354

ISBN - 13: 9789283221357

About the Book

Methods for investigating generalized spatial clustering of disease in human populations have only recently become available. This volume presents the outcome of a unique practical test of these methods, in which authors of several newly-developed approaches conducted their own blind analyses of over 50 artificial datasets, some random, some generated by clustering processes. Results were then compared with the known spatial structure. An historical view of leukaemia clustering is also included. This book will be of particular interest to epidemiologists and public health specialists with responsibility for analysing childhood leukaemia and other rare diseases for which the phenomenon of clustering may offer important clues to aetiology. It will also be useful for statisticians with an interest in analysis of spatial distributions of rare disease.

Table of Contents

Foreword F.E. Alexander and P. Boyle: Introduction 1. P. Boyle, A.M. Walker and F.E. Alexander: Historical aspects of leukaemia clusters 2. F.E. Alexander, J. Williams, P. Maisonnneuve and P. Boyle: The simulated data-sets 3. R.J. Black, L. Sharp and J.D. Urquhart: Analysing the spatial distribution of disease using a method of constructing geographical areas of approximately equal population size 4. C.R. Muirhead and B.K. Butland: Testing for over-dispersion using an adapted form of the Potthoff-Whittinghill method 5. J. Cuzick and R. Edwards: Clustering methods based on k nearest neighbour distributions 6. S. Openshaw: Using a geographical analysis machine to detect the presence of spatial clustering and the location of clusters in synthetic data 7. J.N. Newell and J.E. Besag: The detection of small-area database anomalies 8. All participants: Detailed results for selected data-sets 9. All participants: Overview of results 10. F.E. Alexander and P. Boyle: Editorial comments 11. Individual investigators: Responses by individual authors to editorial comments Appendices: 1. All investigators: The data-sets 2. R.J. Black, L. Sharp and J.D. Urquhart: Extension of the ISD method 3. J. Cuzick and R. Edwards: Cuzick-Edwards one-sample and inverse two-sampling statistics 4. S. Openshaw: Tests of clustering based on pattern-recognition procedures 5. P.J. Diggle and S. Morris: Second-order analysis of spatial clustering 6. N.H. Anderson: A scan statistic for detecting spatial clusters
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From the Publisher

Methods of investigating generalized spatial clustering of disease in human populations have only recently become available. This volume presents the outcome of a unique practical test of these methods, in which authors of several newly developed approaches evaluate their own blind analyses of over 50 artificial datasets, some random, some generated by clustering processes. Results were then compared with the known spatial structure. An historical view of leukemia clustering is also included. This book will be of particular interest to epidemiologists and public health specialists with responsibliity of analysing childhood leukemia and other rare diseases for which the phenomenon of clustering may offer important clues to aetiology. It will also be useful for statisticians with an interest in analysis of spatial distributions of rare disease.

About the Author

F. E. Alexander is at University of Edinburgh. P. Boyle is at European Institute of Oncology.
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