Journal of Management and Science
Vol. 7 No. 1 (2017): Vol 7, Iss 1, Year 2017
Articles

Parametric regression model for response time in clinical trials – a bayesian approach

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  • SUNDARAM N
SUNDARAM N
Assistant Professor, Department of Statistics, Presidency College (Autonomous), Chennai-600 005, Tamilnadu, India.
DOI: https://doi.org/10.26524/jms.2017.1
Published June 30, 2017
Keywords
  • Bayesian model; MCMC.
How to Cite
N, S. (2017). Parametric regression model for response time in clinical trials – a bayesian approach. Journal of Management and Science, 7(1), 1-7. https://doi.org/10.26524/jms.2017.1

Abstract

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

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