This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 583
Type: Contributed
Date/Time: Wednesday, August 4, 2010 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #308281
Title: Bias in Oncology Time-to-Event Data Analysis
Author(s): Din Chen*+ and Yuhlong Lio and Yibin Wang
Companies: Georgia Southern University and The University of South Dakota and Novartis
Address: , , 30461, USA
Keywords: clinical trial ; time-to-event ; interval-censored ; MLE

In all oncology clinical trials, the time-to-event data is generated from cancer scan with a specific interval (such as about 8 weeks) resulting interval-censored data. However the common practice to analyze the data from this type of trial is to approximate the interval-censored data using the midpoint or left of the interval-censored observation to get an exact failure time data rather than interval-censored data so that the well-known statistical methods developed for right-censored data could be used for the suggested analyses. Bias then could be introduced. In this talk we will conduct a simulation study to investigate the bias in parameter estimation and inference. The appropriate statistical models for interval-censored data are reviewed and suggested.

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