A simple and robust method for partially matched samples using the p-values pooling approach.

ABSTRACT: 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.

SUBMITTER: Kuan PF 

PROVIDER: S-EPMC3717400 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature