Wade, A;
Pan, H;
Eaton, S;
Pierro, A;
Ong, E;
(2006)
An investigation of minimisation criteria.
BMC Medical Research Methodology
, 6
(11)
10.1186/1471-2288-6-11.
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Abstract
Minimisation can be used within treatment trials to ensure that prognostic factors are evenly distributed between treatment groups. The technique is relatively straightforward to apply but does require running tallies of patient recruitments to be made and some simple calculations to be performed prior to each allocation. As computing facilities have become more widely available, minimisation has become a more feasible option for many. Although the technique has increased in popularity, the mode of application is often poorly reported and the choice of input parameters not justified in any logical way.
Type: | Article |
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Title: | An investigation of minimisation criteria |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1186/1471-2288-6-11 |
Publisher version: | http://dx.doi.org/10.1186/1471-2288-6-11 |
Language: | English |
Additional information: | © 2006 Wade et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. PMCID: PMC1431552 |
Keywords: | Age distribution, Algorithms, Computer simulation, Humans, Patient selection, Randomized controlled trials as topic, Sex distribution |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Developmental Biology and Cancer Dept UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept |
URI: | https://discovery.ucl.ac.uk/id/eprint/53413 |
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