American Statistical Association
New York City
Metropolitan Area Chapter

Mailman School of Public Health
Columbia University
Department of Biostatistics Colloquium



THRESHOLD REGRESSION FOR SURVIVAL ANALYSIS:
MODELING EVENT OCCURRENCE
WHEN LATENT HEALTH STATUS DECREASES TO A THRESHOLD

by

Mei-Ling Lee
Ohio State University


Abstract

Considerable research has investigated first hitting times as models for survival and other event times. A first hitting time is the earliest time that a stochastic process reaches a fixed threshold or boundary state. In the medical context, the process represents the latent health status of a subject and the threshold represents a critical level of health that triggers an adverse medical event (relapse, disease onset, death). The time scale can be calendar time or some other operational measure of disease progression. Threshold regression refers to first hitting time models with regression structures that accommodate covariate data. The process, threshold parameters and time scale may all depend on the covariates. Threshold regression methodology has already demonstrated its value in studies of infectious disease, cancer and occupational risk. The model generally does not have proportional hazards and thus provides an important alternative to this conventional approach. This talk examines aspects of this topic and discusses fruitful avenues for practical application and future research.


Date: Thursday, April 12, 2007
Time: 4:00 to 5:00 P.M.
Location: Mailman School of Public Health
Department of Biostatistics
722 West 168th Street
Judith Jansen Conference Room (Room 425)
New York, New York

RESERVATIONS ARE NOT REQUIRED

Refreshments will be served at 3:30 P.M. in the
Biostatistics Conference Room (Room 627).


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