Literature DB >> 11318212

The Knox method and other tests for space-time interaction.

M Kulldorff1, U Hjalmars.   

Abstract

The Knox method, as well as other tests for space-time interaction, are biased when there are geographical population shifts, i.e., when there are different percent population growths in different regions. In this paper, the size of the population shift bias is investigated for the Knox test, and it is shown that it can be a considerable problem. A Monte Carlo method for constructing unbiased space-time interaction tests is then presented and illustrated on the Knox test as well as for a combined Knox test. Practical implications are discussed in terms of the interpretation of past results and the design of future studies.

Mesh:

Year:  1999        PMID: 11318212     DOI: 10.1111/j.0006-341x.1999.00544.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  29 in total

1.  Knox meets Cox: adapting epidemiological space-time statistics to demographic studies.

Authors:  Carl P Schmertmann; Renato M Assuçãon; Joseph E Potter
Journal:  Demography       Date:  2010-08

2.  The use of outbreak information in the interpretation of clustering of reported cases of Escherichia coli O157 in space and time in Alberta, Canada, 2000-2002.

Authors:  D L Pearl; M Louie; L Chui; K Doré; K M Grimsrud; D Leedell; S W Martin; P Michel; L W Svenson; S A McEwen
Journal:  Epidemiol Infect       Date:  2006-01-03       Impact factor: 2.451

3.  The use of randomization tests to assess the degree of similarity in PFGE patterns of E. coli O157 isolates from known outbreaks and statistical space-time clusters.

Authors:  D L Pearl; M Louie; L Chui; K Doré; K M Grimsrud; S W Martin; P Michel; L W Svenson; S A McEwen
Journal:  Epidemiol Infect       Date:  2006-06-02       Impact factor: 2.451

4.  Space-time analysis of hospitalised dengue patients in rural Thailand reveals important temporal intervals in the pattern of dengue virus transmission.

Authors:  Jared Aldstadt; In-Kyu Yoon; Darunee Tannitisupawong; Richard G Jarman; Stephen J Thomas; Robert V Gibbons; Angkana Uppapong; Sopon Iamsirithaworn; Alan L Rothman; Thomas W Scott; Timothy Endy
Journal:  Trop Med Int Health       Date:  2012-07-19       Impact factor: 2.622

5.  Space-time clustering of childhood lymphatic leukaemias and non-Hodgkin's lymphomas in Sweden.

Authors:  B Gustafsson; J Carstensen
Journal:  Eur J Epidemiol       Date:  2000       Impact factor: 8.082

6.  Factors associated with whole carcass condemnation rates in provincially-inspected abattoirs in Ontario 2001-2007: implications for food animal syndromic surveillance.

Authors:  Gillian D Alton; David L Pearl; Ken G Bateman; W Bruce McNab; Olaf Berke
Journal:  BMC Vet Res       Date:  2010-08-12       Impact factor: 2.741

7.  Suitability and limitations of portion-specific abattoir data as part of an early warning system for emerging diseases of swine in Ontario.

Authors:  Andrea L Thomas-Bachli; David L Pearl; Robert M Friendship; Olaf Berke
Journal:  BMC Vet Res       Date:  2012-01-06       Impact factor: 2.741

8.  Space-time clustering of childhood central nervous system tumours in Yorkshire, UK.

Authors:  Richard J Q McNally; Peter W James; Susan V Picton; Patricia A McKinney; Marlous van Laar; Richard G Feltbower
Journal:  BMC Cancer       Date:  2012-01-13       Impact factor: 4.430

9.  Congenital Hypothyroidism: Space-Time Clustering of Thyroid Dysgenesis Indicates a Role for Environmental Factors in Disease Etiology.

Authors:  Richard J Q McNally; Jeremy H Jones; Mohamad Guftar Shaikh; Malcolm D C Donaldson; Karen Blakey; Tim D Cheetham
Journal:  Thyroid       Date:  2020-12-29       Impact factor: 6.568

10.  Individual-level space-time analyses of emergency department data using generalized additive modeling.

Authors:  Verónica M Vieira; Janice M Weinberg; Thomas F Webster
Journal:  BMC Public Health       Date:  2012-08-22       Impact factor: 3.295

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