American Statistical Association
Many patients recur with symptoms following gastrectomy. This has been taken as a surrogate of disease biology by some and insufficiently frequent follow-up by others. The principle evidence used in making these arguments is the time between detection of progression and death. We will discuss how this can be subject to lead-time bias and propose an alternative based on multi-state modeling. Semi-parametric and fully parametric approaches will be considered for comparing the lifetime of patients recurring with and without symptoms.
|Date:||Wednesday, May 7, 2008|
|Time:||4:00 P.M. - 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.