American Statistical Association
In this talk, a methodology is proposed for inference on the regression coefficients in the Cox proportional hazards model with interval censored data. The prevalence of interval censored data is increasing in medical studies due to the growing use of biomarkers in place of overall survival as endpoints in clinical trials. Interval censoring results from scheduled progression status assessments during clinic visits. Thus, disease progression is established in the interval between the clinic visit where progression was recorded and the prior clinic visit when no disease progression was determined. Simulations and a colon cancer data set are used to demonstrate the performance of the proposed method.
|Date:||Wednesday, March 4, 2009|
|Time:||4:00 - 5:00 P.M.|
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.