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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236
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Type:
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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 - #308046 |
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Title:
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Joint Modeling of Primary Outcome and Longitudinal Data Measured at Informative Observation Times
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Author(s):
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Song Yan*+ and Daowen Zhang and Wenbin Lu
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Companies:
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North Carolina State University and North Carolina State University and North Carolina State University
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Address:
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2125A Gorman St., Raleigh, NC, 27606,
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Keywords:
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Joint modelling ;
Informative observation times ;
EM algorithm ;
Primary outcome
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Abstract:
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In some biomedical research, we are interested in the relationship between a primary outcome and longitudinal data profiles which are taken at informative observation times. We propose a joint model which consists of (1)the frailty cox model for informative observation times, (2)longitudinal semiparametric mixed model, (3) logistic model for primary binary outcome. These three submodels are linked by subject-specific random effects. The estimation can be conveniently accomplished by Gaussian quadrature techniques, e.g., sas Proc NLMIXED or by EM algorithm. The proposed joint model is evaluated by simulation and is applied to a study that investigates the relationship between pregnancy outcome and early ß-human chorionic gonadotrophin(ß-HCG) among patients,
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