|
|||||||||||||||||||||||||||
| Tools -> Policy makers ->Structured Summaries -> Glossary |
| A | B | C | D | E | F | G | H | I | J | K | L | M |
| N | O | P | Q | R | S | T | U | V | W | X | Y | Z |
Unconfounded
comparison
A comparison between two treatment groups that will give an unbiased estimate of the effect of treatment
due to the study design. For a comparison to be unconfounded, the two
treatment groups must be treated identically, apart from the randomised
treatment. For instance, to estimate the effect of heparin in acute
stroke, a trial of heparin alone versus placebo would provide an
unconfounded comparison. However, a trial of heparin alone versus
aspirin alone provides a confounded comparison of the effect of heparin.
Uncontrolled trial
A clinical trial that has no control group.
Unit of allocation
The unit that is assigned to the
alternative interventions being investigated in a trial. Most commonly, the unit will be an
individual person but, in a cluster
randomised trial,
groups of people will be assigned together to one or the other of the
interventions. In some other trials, different parts of a person (such
as the left or right eye) might be assigned to receive different
interventions. See also unit
of analysis error.
Unit of analysis
error
An error made in statistical analysis when the analysis does not take
account of the unit of
allocation.
In some studies, the unit of allocation is not a person, but is instead
a group of people, or parts of a person, such as eyes or
teeth.
Sometimes the data from these studies are analysed as if people had
been allocated individually. Using individuals as the unit of analysis
when groups of people are allocated can result in overly narrow confidence intervals.
In meta-analysis, it
can result in studies receiving more weight than is appropriate.