Thursday, November 8, 2018 - 3:00pm - 3:30pm
Lei Liu (Washington University School of Medicine)
Mediation analysis has been commonly used to study the effect of an exposure on an outcome through a mediator. In practice, we may face the problem to estimate and test a specific mediator of interest, termed “targeted mediator, in the presence of high dimensional mediators. In this talk we present a de-biased Lasso estimate for the targeted mediator and derive its standard error estimator, which can be used to develop a test procedure for the targeted mediation effect. Extensive simulation studies are conducted to assess the performance of our method.
Wednesday, April 25, 2018 - 1:30pm - 2:00pm
Brian Reich (North Carolina State University)
Forensic analyses are often concerned with identifying the spatial source of biological residue. Using recent advances in high-throughput sequencing technologies, dust collected from nearly any object can be shown to harbor DNA fragments from thousands of bacteria and fungi species which may be informative of the source of the dust. We show that training collections of deep neural network classifiers on random Voronoi partitions of a spatial domain yields remarkably accurate geolocation predictions.
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