Application of sequential analysis may avoid unnecessary experimentation and achieve economical use of available biomaterial stored in biological banks.
When, as often happens in cohort case-control studies, cases are scarce, it may be possible to use multiple control observations per case to increase the power of a test for detecting differences between cases and controls.
Samples from a biological data bank were analysed.
We compared results of a non-sequential analysis with results of sequential t-tests for 1 to 5 controls matched per case in a cohort nested case-control study.
Simulations are performed to get an idea of the unreliability and the power of the sequential test.
Mots-clés Pascal : Analyse séquentielle, Méthode statistique, Epidémiologie, Méthodologie, Etude cohorte, Simulation, Test séquentiel, Essai clinique, Etude cas témoin
Mots-clés Pascal anglais : Sequential analysis, Statistical method, Epidemiology, Methodology, Cohort study, Simulation, Sequential test, Clinical trial, Case control study
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Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 93-0343013
Code Inist : 002B28F. Création : 199406.