Biostatistics; Epidemiology; Genetics; Models, Statistical
My research interests include statistical application and multiple testing in genetics in the context of a large number of hypothesis tests (e.g., microarray analysis, RNA-seq, etc.). Here I focus on the optimal study design of experiments with sequential methods while controlling the error rate (False Discovery Rate and Family-Wise Error Rate). Another research focus lies on the development of a new statistical test for the global null hypothesis and testing subgroups with the closed testing principle.
Techniques, methods & infrastructure
An R-package for testing the global null hypothesis with the omnibus test is available (https://github.com/ThomasTaus/omnibus/blob/master/DESCRIPTION). An extended R-package including the test for subgroups is in preparation.
- Repeated Significance Tests controlling the False Discovery Rate (2009)
Source of Funding: FWF (Austrian Science Fund), Hertha Firnberg grant
- Futschik A, Taus T, Zehetmayer S. An omibus test for the global null hypothesis. Stat.Methods in Medical Research. Published online 2018. To Appear.
- Zehetmayer S, Graf AC, Posch M. Sample size reassessment for a two-stage design controlling the False Discovery Rate. (2015) Statistical Applications in Genetics and Molecular Biology. 14(5):429-42.
- Zehetmayer S, Posch M. FDR control in two-stage designs. (2012) BMC Bioinformatics. 13:81.
- Zehetmayer S, Posch M. (2010). Post-hoc power estimation in large scale multiple testing problems. Bioinformatics. 26, 1050-1056.
- Zehetmayer S, Bauer P, Posch M. (2005). Two-stage designs for experiments with a large number of hypotheses. Bioinformatics. 21, 3771,