A problem for achieving informed choice

Theoretical Medicine and Bioethics 29 (4):255-265 (2008)
Abstract
Most agree that, if all else is equal, patients should be provided with enough information about proposed medical therapies to allow them to make an informed decision about what, if anything, they wish to receive. This is the principle of informed choice; it is closely related to the notion of informed consent. Contemporary clinical trials are analysed according to classical statistics. This paper puts forward the argument that classical statistics does not provide the right sort of information for informing choice. The notion of probability used by classical statistics is complex and difficult to communicate. Therapeutic decisions are best informed by statistical approaches that assign probabilities to hypotheses about the benefits and harms of therapies. Bayesian approaches to statistical inference provide such probabilities.
Keywords Classical statistics   Bayesian statistics   Informed choice   Informed consent   Randomised controlled trials  1103 Clinical Sciences
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