This laboratory will focus upon the application of biostatistics and bioinformatics in cancer research through the development of computational approaches in support of such studies. Examples of such computations include longitudinal, familial, hierarchical, spatial, genetic and genomic data. Our overall mission is to share (and sometimes develop) software, functions, databases, and other related bioinformatics techniques that facilitate analyses towards a more complete understanding of cancer initiation and progression. Our commitment is to make those tools widely and freely available to the research community to enable research beyond our own.

For the academic year of 2006-2007, we will discuss topics such as a large number of hypothesis tests, variable/model selection, the use of molecular markers as endpoints in clincal trials, and high-dimensional regression methods to name a few. Each broad topic will be covered in two sessions, starting with a review, followed by a session of discussion of one or two methods of major interest, and some comment on new methodological developments and open problems. We envision an informal setting that will hopefully generate lively discussions and interaction among people of diverse application interests, with the ultimate goal of stimulating statistical research in these areas.

Faculty Coordinator: Dr. Jeanne Kowalski

Staff Coordinators: Hua Ling Tsai, Alla Guseynova

Meetings: Monthly, Third Thursdays, 1:00-2:00 p.m.

Categories:

Biostatistics:
Clinical Trial Design(e.g., Phase I/II, Phase III)ViewUpload
Clinical Trial Analyses(e.g., Survival)ViewUpload
Biomarker Analyses(e.g., ROC curves)ViewUpload
DescriptivesViewUpload
AnalysisViewUpload
Bioinformatics:
Experimental DesignViewUpload
Experimental Analysis(e.g., preprocessing)ViewUpload
AnnotationViewUpload
VisualizationViewUpload

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