HIGHLIGHTS
- who: . et al. from the Johns Hopkins University, United States have published the paper: The impact of violating the independence assumption in meta-analysis on biomarker discovery, in the Journal: (JOURNAL)
- what: The authors aimed to evaluate the bias of avoiding the dependence of effects in traditional meta-analyses via preclinical pharmacogenomic data. The authors reviewed and compared the performance of frequentist and Bayesian meta-analysis approaches to assess gene-drug associations or biomarker discovery using independent large-scale breast cancer and pan-cancer pharmacogenomic datasets. For individual breast cancer and pan-cancer data analyses . . .
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