Microarray Studies - Danger of False Positives

Doctor Anil Malhotra discusses that because whole genome microarray studies examine so much genetic data, the daners of false-positive results are very real.

Yes. One of the limitations when you examine so many different numbers of markers at any individual time point is the potential for false-positive results. Because of that, the level of statistical correction for multiple testings is quite stringent, and thus we hope to limit the number of false-positives by doing that. But the critical aspect of this probably will be replication of results in multiple studies. I think that will provide more confidence in results than simply a statistical p-value.

whole genome, association, microarray, false positive, statistic, research, methodology, replication, Anil, Malhotra

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