Threshold Regression Models: with application in a multiple myeloma clinical trial
*Mei-Ling Ting Lee, University of Maryland – College Park Keywords: Cox regression methods are well-known. It has, however, a strong proportional hazards assumption. In many medical contexts, a disease progresses until a failure event (such as death) is triggered when the health level first reaches a failure threshold. I’ll present the Threshold Regression (TR) model for patient’s latent health process that requires few assumptions and, hence, is quite general in its potential application. We use TR to analyze data from a randomized clinical trial of treatment for multiple myeloma. A comparison is made with a Cox proportional hazards regression analysis of the same data.
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Key Dates
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June 3, 2014 - September 7, 2015
Online Registration -
June 3, 2015 - August 15, 2015
Housing -
July 31 - August 17, 2015
Invited Abstract Editing -
August 10, 2015
Short Course materials due from Instructors -
August 26, 2015
Advanced Registration Deadline -
September 7, 2015
Cancellation Deadline -
September 16 - 18, 2015
Marriott Wardman Park, Washington, DC