This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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223
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 2, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #306594 |
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Title:
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Predicting Renal Graft Failure Using Multivariate Longitudinal Profiles
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Author(s):
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Geert Verbeke*+ and Steffen Fieuws
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Companies:
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I-Biostat and I-BioStat
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Address:
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UZ Sint-Rafael, Leuven, International, B-3000, Belgium
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Keywords:
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Longitudinal measures ;
Multivariate Model ;
Mixed Model ;
Joint Model ;
Survival Outcome ;
Prediction
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Abstract:
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We consider prediction of graft failure from chronic rejection within 10 years after kidney transplantation based on longitudinal information about 4 longitudinally measured markers. Interest is in investigating how the multivariate information outperforms the information in each marker separately, when it comes to predicting the event of interest. The proposed model combines linear, generalised linear and nonlinear mixed models into one multivariate longitudinal model by specifying a joint distribution for all random effects. Due to the high number of markers, a pairwise model fitting approach, where all possible pairs of bivariate mixed models are fitted, is used.
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