Independent filtering increases detection power for high-throughput experiments

Independent filtering increases detection power for high-throughput experiments

Statistics and Genomics Seminar
Sep 9, 2010, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Dr. Richard Bourgon, Genentech (Speaker)
With high-dimensional data, variable-by-variable statistical testing is often used to select variables whose behavior differs across conditions. Such an approach requires adjustment for multiple testing, which can result in low statistical power. A two-stage approach that first filters variables by a criterion independent of the test statistic, and then only tests variables which pass the filter,...