Reporting Bayesian analyses of clinical trials.

  title={Reporting Bayesian analyses of clinical trials.},
  author={Michael R. Hughes},
  journal={Statistics in medicine},
  volume={12 18},
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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Long - term effects of intravenous anistreplase in acute myocardial infarction : final report of the AIMS study ’

J. Bosch, R. J. Groszmann, +3 authors J. ‘ Rodes
Lancet • 1990

Propranolol in the presentation of first haemorrhage from oesophageal varices : results of a randomized , double - blind , cooperative clinical trial ’

S. J. Pocock, M. D. Hughes
Journal of Hepatology • 1988

A Bayesian test of some classical hypotheseswith applications to sequential clinical trials

J. ‘ Cornfield
‘ Biostatistics and the Medical Research Council ’ , Medical Research Council News • 1987

‘ Bayesian methods in practice : experiences in the pharmaceutical industry ’

A. Racine, A. P. Grieve, H. Fluhler, A. F. M. Smith
Applied Statistics • 1986