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Methods for Investigating Localized Clustering of Disease

By: F.E. Alexander (Editor), P. Boyle (Editor)

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Paperback | 1 February 1997

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276 Pages

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25.4 x 17.78 x 1.47

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Since the beginning of this century, "clusters" of certain forms of cancer--particularly leukemia in children and Hodgkin's disease--have been reported around locations of specific environmental hazards. Identification of such clusters is not an easy task, since there is no exact definition of
what a cluster is. This monograph describes the variety of statististical techniques cuurently in use, and their application to simulated data-sets chosen to represent a range of clustering scenarios. The scientists who developed these techniques were invited to apply their methodology to these
data-sets and to share their conclusions in this volume. In addition, these researchers describe in complete detail how they proceeded with the analysis, since an element of subjectivity figures prominently in the application and interpretation of some of these methods. The identification and
analysis of disease clusters can yield significant clues in epidemiologic research, and as such will continue to be an important subject of cancer research and epidemiology for the foreseeable future.

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You Can Find This Book In

Non-Fiction Medicine Clinical & Internal Medicine Diseases & Disorders Oncology Medicine in General Public Health & Preventive Medicine Epidemiology & Medical Statistics Medical Equipment & Techniques Medical Research Other Branches of Medicine Forensic Medicine

Medical Diagnosis Science Biology, Life Sciences Botany & Plant Sciences Pharmacology

Foreword
Introduction
Historical aspects of leukaemia clusters
The simulated data -sets
Analysing the spatial distribution of disease using a method of constructing geographical areas of approximately equal population size
Testing for over-dispersion using an adapted form of the Potthoff-Whittinghill method
Clustering methods based on k nearest neighbour distributions
Using a geographical analysis machine to detect the presence of spatial clustering and the location of clusters in synthetic data
The detection of small-area database anomalies
Detailed results for selected data-sets, All participants
Overview of results, All participants
Editorial comments
Responses by individual authors to editorial comments, Individual investigators Appendices
The data-sets, All investigators
Extension of the ISD method
Cuzick-Edwards one-sample and inverse two-sampling statistics
Tests of clustering based on pattern-recognition procedures
Second-order analysis of spatial clustering
A scan statistic for detecting spatial clusters
The CAS method
Geostatistics for determining the risk of rare disease
References
Table of Contents provided by Publisher. All Rights Reserved.

Methods for Investigating Localized Clustering of Disease

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