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

Abstract Details

Activity Number: 360
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #309229
Title: Statistical Models for Adenoma Data from Colorectal Polyp Prevention Trials
Author(s): Chiu-Hsieh Hsu*+ and Sadhvi Khanna
Companies: The University of Arizona and The University of Arizona
Address: , Tucson, AZ, 85724,
Keywords: colorectal cancer ; misclassification ; mixture model

The number of recurrent colorectal adenomas from a colorectal polyp prevention trial is often measured by performing colonoscopy known to miss a small percentage of existing adenomas. As a result, number of recurrent adenomas could be miscounted and recurrence status could be misclassified. In addition, some participants might not comply with the schedule of follow-up colonoscopy scheduled to be performed once at the end of the study and, therefore, have variable follow-up lengths compared to the compliant participants. We develop semi-parametric mixture models that can handle misclassification at follow-up colonoscopy and develop robust statistical methods to incorporate the length of follow-up into the semi-parametric mixture models while estimating the prevention effect.

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