This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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283
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Biopharmaceutical Section
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Abstract - #308035 |
Title:
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One Scenario in Which Joint Modeling Is Unnecessary
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Author(s):
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Joel A. Dubin*+ and Xiaoqin Xiong
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Companies:
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University of Waterloo and University of Waterloo
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Address:
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, Waterloo, ON, , Canada
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Keywords:
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binning ;
generalized linear mixed effects model ;
longitudinal model ;
smoothing ;
time-varying covariate ;
zero-inflated modeling
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Abstract:
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There are many scenarios when analyzing a time-varying covariate and survival response to consider joint modeling. However, if one's goal is to consider the association, possibly lagged, between a time-varying covariate and a recurrent event survival response, then an alternative method is to employ a binning-based smoothing step before applying a more traditional model for generalized longitudinal response data. In this talk, we discuss the binning method, why it was used over a joint model in a nephrology application of interest, and the useful interpretation of the results from this application. Time permitting, we will also discuss some simulation results, providing guidelines on when this binning approach will (and will not) be useful.
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Authors who are presenting talks have a * after their name.
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