A Bayesian semiparametric model for bivariate sparse longitudinal data-Reference-Cited by-同舟云学术

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A Bayesian semiparametric model for bivariate sparse longitudinal data

Published:2013-04-04 Issue:22 Volume:32 Page:3899-3910
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Das Kiranmoy¹,Li Runze²³,Sengupta Subhajit⁴,Wu Rongling³²

Affiliation:

1. Department of Statistics; Temple University; Philadelphia PA 19122 U.S.A.

2. Department of Statistics; The Pennsylvania State University; University Park PA 16802-2111 U.S.A.

3. Center for Statistical Genetics; The Pennsylvania State University; Hershey PA 17033 U.S.A.

4. Computer, Information Science & Engineering; University of Florida; Gainesville FL 32611 U.S.A.

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference24 articles.

1. On modelling mean-covariance structures in longitudinal studies;Pan;Biometrika,2003

2. Joint mean-covariance models with applications to longitudinal data: unconstrained parameterisation;Pourahmadi;Biometrika,1999

3. Maximum likelihood estimation of generalized linear models for multivariate normal covariance matrix;Pourahmadi;Biometrika,2000

4. Dynamic semiparametric Bayesian models for genetic mapping of complex trait with irregular longitudinal data;Das;Statistics in Medicine,2013

5. Random effects model for longitudinal data;Laird;Biometrics,1982

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