American Statistical Association
New York City
Metropolitan Area Chapter

Memorial Sloan-Kettering Cancer Center
Biostatistics Seminar



Marinela Capanu
Assistant Attending Biostatistician
Department of Epidemiology and Biostatistics
Memorial Sloan-Kettering Cancer Center

SIMULATION STUDY OF HIERARCHICAL MODELING
FOR ESTIMATING CANCER RISKS OF INDIVIDUAL GENETIC VARIANTS

Many major genes have been identified that strongly influence the risk of cancer. It is thus critical to identify which genetic mutations confer an increased risk and which ones are harmless, so that one can appropriately counsel carriers of these mutations. This is a challenging task, since there can be numerous mutations in the gene and relatively little evidence available about each individual mutation. Capanu et al. (2008) employed hierarchical modeling using the pseudo-likelihood method to estimate the relative risks of individual rare variants and showed that one can draw strength from the aggregating power of hierarchical models to distinguish between variants that are harmful and those that are harmless. In this talk, we investigate the validity of this hierarchical modeling approach using simulations based on two real datasets from melanoma and breast cancer.

This is joint work with Colin Begg.


Date: Wednesday, September 9, 2009
Time: 4:00 - 5:00 P.M.
Location: Memorial Sloan-Kettering Cancer Center
Department of Epidemiology and Biostatistics
307 East 63rd Street
(between First and Second Avenues)
3rd Floor Conference Room
New York, New York
Note: To gain access to the building, please follow the directions by the telephone in the foyer.

RESERVATIONS ARE NOT REQUIRED


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