Reporting Bayesian analyses of clinical trials.

@article{Hughes1993ReportingBA,
  title={Reporting Bayesian analyses of clinical trials.},
  author={Michael R. Hughes},
  journal={Statistics in medicine},
  year={1993},
  volume={12 18},
  pages={
          1651-63
        }
}
Many clinicians wrongly interpret p-values as probabilities that treatment has an adverse effect and confidence intervals as probability intervals. Such inferences can be validly drawn from Bayesian analyses of trial results. These analyses use the data to update the prior (or pre-trial) beliefs to give posterior (or post-trial) beliefs about the magnitude of a treatment effect. However, for these methods to gain acceptance in the medical literature, understanding between statisticians and… CONTINUE READING
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