Bhattacharjee Atanu
Division of Clinical Research and Biostatistics, Malabar Cancer Center, Thalassery, Kerala 670103, India. Email:
World J Oncol. 2014 Jun;5(3):109-112. doi: 10.14740/wjon842e. Epub 2014 Jun 25.
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.
贝叶斯方法在临床试验中的应用比传统方法更有用。从设计到分析阶段都有益处。通过贝叶斯方法可以直接得出关于药物治疗效果的结论。复杂的计算问题用贝叶斯技术很容易处理。该技术只有在有数据的先验信息时才可行。通过后验估计可以进行推断。然而，这种方法存在一些局限性。这项工作的目的是探讨贝叶斯方法在癌症研究中的若干优缺点。对该技术的综述将有助于参与肿瘤学研究的临床研究人员探索贝叶斯技术的局限性和优势。
