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BAYESIAN APPROACHES TO RANDOMIZED TRIALS
Author(s): SPIEGELHALTER DJ, FREEDMAN LS, PARMAR MKB
Source: JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY    Volume: 157    Pages: 357-387    Part: Part 3    Published: 1994  
Times Cited: 238     References: 69     
Abstract: Statistical issues in conducting randomized trials include the choice of a sample size, whether to stop a trial early and the appropriate analysis and interpretation of the trial results. At each of these stages, evidence external to the trial is useful, but generally such evidence is introduced in an unstructured and informal manner. We argue that a Bayesian approach allows a formal basis for using external evidence and in addition provides a rational way for dealing with issues such as the ethics of randomization, trials to show treatment equivalence, the monitoring of accumulating data and the prediction of the consequences of continuing a study. The motivation for using this methodology is practical rather than ideological.
Document Type: Article
Language: English
Reprint Address: SPIEGELHALTER, DJ (reprint author), INST PUBL HLTH, MRC, BIOSTAT UNIT, ROBINSON WAY, CAMBRIDGE CB2 2SR, ENGLAND
Addresses:
1. MRC, CANC TRIALS OFF, CAMBRIDGE, ENGLAND
2. NCI, BETHESDA, MD 20892 USA
Publisher: BLACKWELL PUBL LTD, 108 COWLEY RD, OXFORD, OXON, ENGLAND OX4 1JF
Subject Category: Social Sciences, Mathematical Methods; Statistics & Probability
IDS Number: PX871
ISSN: 0035-9238
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