American Statistical Association
New York City
Metropolitan Area Chapter

Memorial Sloan-Kettering Cancer Center
Biostatistics Seminar



Irina Ostrovnaya
Department of Epidemiology & Biostatistics
Memorial Sloan-Kettering Cancer Center

NOVEL ALGORITHM FOR STRATIFYING PATIENTS
INTO SURVIVAL RISK GROUPS USING MUTATION DATA
AT SELECTED GENES

Patterns of somatic mutations in the tumor may affect prognosis of cancer patients, and many studies routinely collect tumor tissues and sequence known commonly mutated genes. We consider a problem of building a prognostic model that will define a patient’s survival risk based on the somatic mutations that are observed in the patient’s tumor. These mutations might co-occur or be mutually exclusive, and they might affect the survival through both main effects and interactions. Various decision trees methods are available for such problem. We develop an alternative approach where we consider each possible combination of mutations, and then we cluster their survival curves into few risk groups. Various distance metrics between survival curves and clustering methods are compared using simulated data.

This is joint work with Mithat Gönen and Sean Devlin.


Date: Wednesday, January 23, 2013
Time: 11:00 A.M. - 12:00 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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