Journal
STATISTICS IN MEDICINE
Volume 32, Issue 19, Pages 3247-3259Publisher
WILEY-BLACKWELL
DOI: 10.1002/sim.5758
Keywords
meta-analysis; weighted Z-test; microarray; false discovery rate
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Funding
- NCI [5-P30-CA16086-34]
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This paper focuses on statistical analyses in scenarios where some samples from the matched pairs design are missing, resulting in partially matched samples. Motivated by the idea of meta-analysis, we recast the partially matched samples as coming from two experimental designs and propose a simple yet robust approach based on the weighted Z-test to integrate the p-values computed from these two designs. We show that the proposed approach achieves better operating characteristics in simulations and a case study, compared with existing methods for partially matched samples. Copyright (c) 2013 John Wiley & Sons, Ltd.
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