This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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360
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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Abstract - #309229 |
Title:
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Statistical Models for Adenoma Data from Colorectal Polyp Prevention Trials
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Author(s):
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Chiu-Hsieh Hsu*+ and Sadhvi Khanna
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Companies:
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The University of Arizona and The University of Arizona
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Address:
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, Tucson, AZ, 85724,
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Keywords:
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colorectal cancer ;
misclassification ;
mixture model
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Abstract:
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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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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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