Circulation, Vol 64, 669-673, Copyright © 1981 by American Heart Association
GS May, DL DeMets, LM Friedman, C Furberg and E Passamani
The realization that bias in patient selection may influence the results of
clinical studies has helped to establish the randomized controlled clinical
trial in medical research. However, bias can be equally important at other
stages of a trial, especially at the time of analysis. Withdrawing patients
from consideration in the analysis because of ineligibility on account of
study entry criteria, lack of compliance to the protocol, or data of poor
quality may be a source of systematic error. Examples to illustrate the
possible consequences are taken from trials in the cardiovascular field. We
recommended that reported study results should include outcome data from
all subjects randomized in the group to which they were originally
assigned.
ARTICLES
The randomized clinical trial: bias in analysis
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