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An Application of Linear Mixed Effect Model to Compare the Drug Treatment Effect in Patients with Type 2 Diabetes


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1 Dept. of Statistics, Gauhati University
     

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In this article, different types of mixed effect models have been applied for drug effect comparison in type 2 diabetes patients. The mixed effect models have been applied through Bayesian approach and compared with frequency approach. The combination of metformin with pioglitazone is found to be effective compared to pioglitazone with gliclazide.

Keywords

MCMC, FBS, AR(1)
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  • An Application of Linear Mixed Effect Model to Compare the Drug Treatment Effect in Patients with Type 2 Diabetes

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Authors

Dilip C. Nath
Dept. of Statistics, Gauhati University
Atanu Bhattacharjee
Dept. of Statistics, Gauhati University

Abstract


In this article, different types of mixed effect models have been applied for drug effect comparison in type 2 diabetes patients. The mixed effect models have been applied through Bayesian approach and compared with frequency approach. The combination of metformin with pioglitazone is found to be effective compared to pioglitazone with gliclazide.

Keywords


MCMC, FBS, AR(1)

References