American Statistical Association
New York City
Metropolitan Area Chapter

Memorial Sloan-Kettering Cancer Center
Biostatistics Seminar



Mithat Gönen
Department of Epidemiology and Biostatistics
Memorial Sloan-Kettering Cancer Center

PREDICTIVE VALUE DECOMPOSITION

ROC curves are routinely used to express the discriminatory power of a marker in terms of sensitivity and specificity. Corresponding methods for positive and negative predictive values are less commonly used, possibly because they are functions of the prevalence. In this talk, I will discuss a method to decompose the predictive values as a product of two functions: one involving prevalence and the other involving the cumulative distribution of the marker conditional on the gold standard. This decomposition lends itself to a graphical summary and it can also be used to model the predictive values as a function of covariates. I will use examples from the literature as well as using MSK data to illustrate various uses of this decomposition.


Date: Wednesday, April 14, 2010
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)
Room 331
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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