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PARAMETRIC REGRESSION MODEL FOR RESPONSE TIME IN CLINICAL TRIALS – A BAYESIAN APPROACH

Abstract: In this paper an attempt has been made to model the censored survival data usingBayesian regressions with Markov Chain Monte Carlo (MCMC) methods. Bayesian Log-Normal (LN) regression model are found to be providing better fit than the other Bayesianregression models namely Exponential (E), Generalized Exponential (GE), Webull (W), Log-Logistic (LL) and Gamma (G).

Key words: Bayesian model; MCMC.

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DR. N. SUNDARAM


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