Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Large-Scale Simultaneous Hypothesis Testing: The Choice of a Null Hypothesis
Ist Teil von
Journal of the American Statistical Association, 2004-03, Vol.99 (465), p.96-104
Ort / Verlag
Alexandria, VA: Taylor & Francis
Erscheinungsjahr
2004
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
Current scientific techniques in genomics and image processing routinely produce hypothesis testing problems with hundreds or thousands of cases to consider simultaneously. This poses new difficulties for the statistician, but also opens new opportunities. In particular, it allows empirical estimation of an appropriate null hypothesis. The empirical null may be considerably more dispersed than the usual theoretical null distribution that would be used for any one case considered separately. An empirical Bayes analysis plan for this situation is developed, using a local version of the false discovery rate to examine the inference issues. Two genomics problems are used as examples to show the importance of correctly choosing the null hypothesis.