American Statistical Association
New York City
Metropolitan Area Chapter

Memorial Sloan-Kettering Cancer Center
Biostatistics Seminar


Alexia Iasonos, Ph.D.
Assistant Attending Biostatistician
Department of Epidemiology and Biostatistics
Memorial Sloan-Kettering Cancer Center

SAMPLE SIZE CALCULATION FOR SELECTING A
PREDICTIVE MARKER FOR A SURVIVAL ENDPOINT

This presentation will provide methodology for power and sample size calculations for prospectively designing studies that aim to distinguish a more predictive marker from an inferior one, when the endpoint is subject to censoring. The method is applicable to any binary covariate, such as symptom grading (e.g. severe/non-severe), under the assumption that these covariates are measured on the same subjects (paired data). Simulations are performed under alternative schemes by varying the correlation between the covariates; degree of censoring; and parameters of the assumed survival distribution. Power calculations are obtained for a fixed difference in the predictive accuracy between the two covariates, as a function of the sample size. Software availability and limitations will also be discussed.

Joint work with Cami Sima and Mithat Gönen.


Date: Wednesday, February 11, 2009
Time: 4:00 P.M. - 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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