Journal
COMPUTATIONAL STATISTICS & DATA ANALYSIS
Volume 53, Issue 10, Pages 3630-3639Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.csda.2009.03.002
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Funding
- Natural Sciences and Engineering Research Council of Canada
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Human genetic linkage studies have the objective of testing whether disease genes are linked to genetic markers based on family genetic data. Sometimes, these studies require many years of recruiting informative families and large amount of funds. One way to reduce the required sample size for such studies is to use sequential testing procedures. In this paper, we investigate two group sequential tests for homogeneity in binomial mixture models that are commonly used in genetic linkage analysis. We conduct Monte Carlo simulations to examine the performance of the group sequential procedures. The results show that the proposed group sequential procedures can save, on average, substantial sample size and detect linkage with almost the same power as their nonsequential counterparts. (C) 2009 Elsevier B.V. All rights reserved.
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