Bayesian statistics in oncology : a guide for the clinical investigator
- Adamina, Michel
- Tomlinson, George
- Guller, Ulrich
DOIAbstract
The rise of evidence-based medicine as well as important progress in statistical methods and computational power have led to a second birth of the <200-year-old Bayesian framework. The use of Bayesian techniques, in particular in the design and interpretation of clinical trials, offers several substantial advantages over the classical statistical approach. First, in contrast to classical statistics, Bayesian analysis allows a direct statement regarding the probability that a treatment was beneficial. Second, Bayesian statistics allow the researcher to incorporate any prior information in the analysis of the experimental results. Third, Bayesian methods can efficiently handle complex statistical models, which are suited for advanced clinical...
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