Bayesian Inference for Generalized Linear Mixed Model Based on the Multivariate t Distribution in Population Pharmacokinetic Study

Open Access

Peer-reviewed

Research Article

Fang-Rong Yan ,

* E-mail: f.r.yan@163.com (FY); lut163@163.com (TL); jglin@seu.edu.cn (JL)

Affiliations Department of Mathematics, Southeast University, Nanjing, China, Department of Mathematics, China Pharmaceutical University, Nanjing, China, State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China
⨯
Yuan Huang,

Affiliations Department of Mathematics, China Pharmaceutical University, Nanjing, China, State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China
⨯
Jun-Lin Liu,

Affiliations Department of Mathematics, China Pharmaceutical University, Nanjing, China, State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China
⨯
Tao Lu ,

* E-mail: f.r.yan@163.com (FY); lut163@163.com (TL); jglin@seu.edu.cn (JL)

Affiliations Department of Mathematics, China Pharmaceutical University, Nanjing, China, State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China, Laboratory of Molecular Design and Drug Discovery, China Pharmaceutical University, Nanjing, China
⨯
Jin-Guan Lin

* E-mail: f.r.yan@163.com (FY); lut163@163.com (TL); jglin@seu.edu.cn (JL)

Affiliation Department of Mathematics, Southeast University, Nanjing, China
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Normal distribution
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Pharmacokinetics
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Algorithms
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Bayesian method
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Generalized linear model
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