Bayesian Methods and Ethics in a Clinical Trial Design

BMJ 1997; 314 doi: 10.1136/bmj.314.7088.1209a (Published 19 April 1997)
Cite this as: BMJ 1997;314:1209.2

Access to the full text of this article requires a subscription or payment. Please log in or subscribe below.

  1. Robert A Crouch, doctoral candidate
  1. Joint Centre for Bioethics, University of Toronto, Toronto, Canada

    Ed Joseph B Kadane / John Wiley, £65, pp 318 ISBN 0 471 84680 5

    When confronted with the ubiquitous P value, the statistical novice usually concludes (wrongly) that it represents the answer to the clinically important question “What is the probability that treatment A is superior to treatment B?” Yet classical (frequentist) statistical methods–the standard used in clinical research–do not address this question; Bayesian methods do. Bayesian researchers can formally quantify prior beliefs about relative efficacies of treatments (from previously published literature and from “informal” clinical experience), and they can then update these “priors” …

    Access to the full text of this article requires a subscription or payment

    Article access

    Article access for 1 day

    Purchase this article for £20 $30 €32*

    The PDF version can be downloaded as your personal record

    * Prices do not include VAT

    THIS WEEK'S POLL