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Application of a sequential t-test in a cohort nested case-control study with multiple controls per case.

Abstract：

: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-controls 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. In general the sequential t-tests are too conservative with respect to the achieved power. Average sample numbers are lower for the sequential tests and decrease with multiple controls. More than 3 or 4 controls per case does not give a meaningful increase in efficiency.

journal_name

J Clin Epidemiol

journal_title

Journal of clinical epidemiology

authors

van der Tweel I,van Noord PA,Kaaks R

doi

10.1016/0895-4356(93)90073-a

subject

Has Abstract

pub_date

1993-03-01 00:00:00

pages

253-9

issue

3

eissn

0895-4356

issn

1878-5921

pii

0895-4356(93)90073-A

journal_volume

46

pub_type

杂志文章

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