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STATISTICAL POWER AND DESIGN OF FOCUSED CLUSTERING STUDIES
Author(s) -
WALLER LANCE A.
Publication year - 1996
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19960415)15:7/9<765::aid-sim248>3.0.co;2-n
Subject(s) - cluster analysis , cluster (spacecraft) , computer science , statistical power , data mining , sample size determination , statistics , sample (material) , econometrics , data science , mathematics , machine learning , programming language , chemistry , chromatography
Focused clustering studies investigate raised incidence of disease in the vicinity of prespecified putative sources of increased risk. The analytic power functions of three focused tests of disease clustering are defined and used to address two design issues related to focused cluster studies. The power functions provide sample sizes required to detect a given increase in relative risk and allow measurement of the effects of aggregating data when a fixed underlying cluster model is assumed. Results are illustrated on hypothetical data as well as leukaemia data from upstate New York.