Application of Bayesian Approach in Cancer Clinical Trial

Atanu Bhattacharjee

Abstract


The application of Bayesian approach in clinical trials becomes more useful over classical method. It is beneficial from design to analysis phase. The straight forward statement is possible to obtain through Bayesian about the drug treatment effect. Complex computational problems are simple to handle with Bayesian techniques. The technique is only feasible to performing presence of prior information of the data. The inference is possible to establish through posterior estimates. However, some limitations are present in this method. The objective of this work was to explore the several merits and demerits of Bayesian approach in cancer research. The review of the technique will be helpful for the clinical researcher involved in the oncology to explore the limitation and power of Bayesian techniques.



World J Oncol. 2014;5(3):109-112
doi: http://dx.doi.org/10.14740/wjon842e


Keywords


Markov chain Monte Carlo; Iteration; HPD and likelihood

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