Pair Matcher (PaM): fast model-based optimization of treatment/case-control matches.

ABSTRACT:

Motivation

In clinical trials, individuals are matched using demographic criteria, paired and then randomly assigned to treatment and control groups to determine a drug's efficacy. A chief cause for the irreproducibility of results across pilot to Phase-III trials is population stratification bias caused by the uneven distribution of ancestries in the treatment and control groups.

Results

Pair Matcher (PaM) addresses stratification bias by optimizing pairing assignments a priori and/or a posteriori to the trial using both genetic and demographic criteria. Using simulated and real datasets, we show that PaM identifies ideal and near-ideal pairs that are more genetically homogeneous than those identified based on competing methods, including the commonly used principal compone

SUBMITTER: Elhaik E 

PROVIDER: S-EPMC6596890 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature