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Design considerations in the sequential analysis of matched case–control data
Author(s) -
Baksh M. Fazil,
Todd Susan,
Whitehead John,
Lucini María M.
Publication year - 2004
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/sim.1968
Subject(s) - computer science , sample size determination , binary data , sample (material) , statistics , data mining , sequential analysis , feature (linguistics) , control (management) , binary number , artificial intelligence , mathematics , linguistics , chemistry , philosophy , arithmetic , chromatography
Abstract A role for sequential test procedures is emerging in genetic and epidemiological studies using banked biological resources. This stems from the methodology's potential for improved use of information relative to comparable fixed sample designs. Studies in which cost, time and ethics feature prominently are particularly suited to a sequential approach. In this paper sequential procedures for matched case–control studies with binary data will be investigated and assessed. Design issues such as sample size evaluation and error rates are identified and addressed. The methodology is illustrated and evaluated using both real and simulated data sets. Copyright © 2004 John Wiley & Sons, Ltd.