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David J Torgerson Centre for Health Economics,
University of York, York YO10 5DD
djt6@york.ac.uk
| The first 150 words of the full text of this article appear below. |
Most randomised trials allocate individual participants to different treatments. However, cluster randomised trials in which groups of subjects are allocated to different treatments are becoming increasingly popular.1 Cluster randomisation is often advocated to minimise treatment "contamination" between intervention and control participants. For example, in a trial of dietary change, people in the control group might learn about the experimental diet and adopt it themselves.
Contamination of control participants has two related effects. It
reduces the point estimate of an intervention's effectiveness and this
apparent reduction may lead to a type II error
that is, rejection of
an effective intervention as ineffective because the observed effect
size was neither statistically nor clinically significant.
Although the threat of contamination is an issue in some controlled
trials, it may be not be of much practical importance in many.
Trialists should use individual randomisation if possible because of
the drawbacks of cluster allocation. Cluster
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