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Author
Bhattacharjee Atanu (Malabar Cancer Centre), Nath Dilip C. (Gauhati University, Indie)
Title
Joint Longitudinal and Survival Data Modelling : an Application in Anti-Diabetes Drug Therapeutic Effect
Source
Statistics in Transition, 2014, vol. 15, nr 3, s. 437-452, rys., tab., bibliogr. 33 poz.
Keyword
Metoda Monte Carlo, Łańcuch Markowa, Medycyna, Analiza statystyczna
Monte Carlo method, Markov chain, Medicine, Statistical analysis
Note
summ.
Abstract
The longitudinal and survival analyses are useful tools in the exploration of drug trial data. In both cases the challenge is to deal with correlated repeated observations. Here, the joint modelling for longitudinal and survival data has been carried out via Markov chain Monte Carlo (MCMC) method in type 2 diabetes clinical trials to compare different combinations of drugs, viz. Metformin plus Pioglitazone and Gliclazide plus Pioglitazone. Despite the complexity of the model it has been found relatively easier to implement with WinBugs software. The results have been computed and compared with software R. In both types of the analyses it has been found that no estimates of treatment appear to have significant effect on the evolution of the matter of HBAlc, neither on the longitudinal part nor on the survival one. The Bayesian approach has been considered as an extended tool with classical approach for estimation of clinical trial data analysis. (original abstract)
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The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice
The Main Library of the Wroclaw University of Economics
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ISSN
1234-7655
Language
eng
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