Statistical and Practical Issues in Long-Term Follow-up of Patients, Illustrated from the U of MN Blood and Marrow Transplant Program.

Anne Goldman
Division of Biostatistics
University of Minnesota

Wednesday, October 23, 2002
3:30 PM
PWB 2-470
Minneapolis Campus

Please note: This seminar is being held in a different location from our regularly scheduled talks.

Abstract:
Some clinical research programs attempt to follow their patients for a long period of time. This is especially true in Cancer Centers and other programs that treat patients with chronic disease because there is interest in the long-term consequences of treatment, not just the primary outcome of response, relapse, and survival. Blood and marrow transplants have the potential for curing the underlying disease and many patients, who survive the very intensive pre- and post transplant treatment, go on to lead a relatively normal life and a normal life-span.

It is impractical and costly to follow an increasingly large population of surviving patients indefinitely. As the proportion of patients that can be followed becomes smaller with the years since transplant statistical analysis becomes more and more unreliable, both in terms of bias and variance of outcome estimates. We are therefore proposing a new strategy to the UMN BMT program that will restrict complete follow-up to a defined period of time. After that, patients will be followed for survival only, through annual searches of the National Death Index.

Data from the BMT research database will be presented with a detailed description of the proposed plan.

A social tea will be held at 3:00 P.M. in A434 Mayo. All are Welcome.
For more details contact 612-624-4655