Literature DB >> 984032

Tables and formulas for extended use of the Ederer-Myers-Mantel disease-clustering procedure.

N Mantel, R J Kryscio, M H Myers.   

Abstract

The principles of the Ederer-Myers-Mantel procedure for seeking evidence of disease clustering are reviewed. The procedure is based on cumulative empirical clusters, i.e., the largest frequency in a single time period or in two successive time periods, and comparing that cumulation with the expected cumulation of largest frequencies under random occurrence. Original tabulations covered totals of up to 15 cases distributed among three, four or five time periods. Present tabulations of expectations and variances cover up to 500 cases distributed among two or three time periods and 200 cases distributed among four or five time periods. Asymptotic formulas are provided for the expectation and variance of the largest frequency in a single period when arbitrarily many cases are distributed at random among two, three, four or five time periods.

Mesh:

Year:  1976        PMID: 984032     DOI: 10.1093/oxfordjournals.aje.a112333

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  4 in total

1.  Exact Statistical Tests for Heterogeneity of Frequencies Based on Extreme Values.

Authors:  Chih-Chieh Wu; Roger C Grimson; Sanjay Shete
Journal:  Commun Stat Simul Comput       Date:  2010       Impact factor: 1.118

2.  Epidemiology of necrotizing enterocolitis temporal clustering in two neonatology practices.

Authors:  Jareen Meinzen-Derr; Ardythe L Morrow; Richard W Hornung; Edward F Donovan; Kim N Dietrich; Paul A Succop
Journal:  J Pediatr       Date:  2008-12-25       Impact factor: 4.406

3.  Space-time cluster analysis of invasive meningococcal disease.

Authors:  Christian J P A Hoebe; Hester de Melker; Lodewijk Spanjaard; Jacob Dankert; Nico Nagelkerke
Journal:  Emerg Infect Dis       Date:  2004-09       Impact factor: 6.883

4.  Assessing current temporal and space-time anomalies of disease incidence.

Authors:  Chih-Chieh Wu; Chien-Hsiun Chen; Sanjay Shete
Journal:  PLoS One       Date:  2017-11-13       Impact factor: 3.240

  4 in total

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