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APHA Scientific Session and Event Listing

Recorded presentation

Jeremy Taylor, PhD, Pharmacia Research Professor, Department of Biostatistics, Associate Director for Biostatistics, Comprehensive Cancer Center, M4509 SPH II, 1420 Washington Heights, Ann Arbor, MI 48109-2029, (734) 936-3287, jmgt@umich.edu

Following radiation therapy treatment for prostate cancer, men are serially monitored using the serum biomarker, prostate specific antigen (PSA). Increases in PSA are suggestive of cancer recurrence, and frequently salvage hormone therapy is started even in the absence of clinical recurrence. Using data from multiple institutions we have developed a model for the joint distribution of longitudinal PSA and true clinical recurrences. A hierarchical non-linear random effects model is used for the longitudinal PSA measurements and a time-dependent proportional hazards model depending on the current value and the rate of change of PSA is used for the clinical recurrences. The model can be used to estimate the distribution of time to future clinical recurrence for an individual patient, given his sequence of PSA measurements.

Learning Objectives:

• At the conclusion of the session, the participant (learner) in this session will understand that joint modeling of longitudinal PSA and clinical recurrence can be used to estimate the distribution of time to future clinical recurrence given longitudinal PSA.

Presenting author's disclosure statement:

Any relevant financial relationships? No

Recorded presentation