American Statistical Association
New York City
Metropolitan Area Chapter

Memorial Sloan-Kettering Cancer Center
Biostatistics Seminar



Michael Jones
Department of Biostatistics
University of Iowa

NONPARAMETRIC ESTIMATION OF GROUP-SPECIFIC
SURVIVAL FUNCTIONS FROM CASE-COHORT DATA

Prentice (1986) introduced the case-cohort design to reduce the cost and necessary manpower in conducting large cohort studies that arise from processing all information, especially those requiring lab analyses and coding of subject-maintained diaries, into measurable covariates. In this design, all variables are measured on everyone in a randomly selected subcohort, but only on those experiencing the event of interest in the remaining non-subcohort. The goal in this presentation is the estimation of the group-specific survival functions when group membership is only partially known, as from case-cohort data. The nonparametric maximum likelihood estimator is derived along with some smoothed variations that require fewer assumptions. Consistency and asymptotic normality are considered. The small-sample behavior is investigated through simulation. A SEER prostate cancer data set is used to exemplify the methods.


Date: Wednesday, April 6, 2011
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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