title: 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.
authors: Department of Biostatistics and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA. pfkuan@email.unc.edu
authors: Pei Fen
authors: PF
authors: Kuan
authors: Bo
authors: B
authors: Huang
mesh_terms: D000230:Adenocarcinoma / Q000097:blood / Q000235:genetics; D003110:Colonic Neoplasms / Q000097:blood / Q000235:genetics; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D006801:Humans; D035683:MicroRNAs / Q000097:blood / Q000235:genetics; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods; D012107:Research Design
chemical_list: D035683:MicroRNAs
keywords: false discovery rate; meta-analysis; microarray; weighted Z-test