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An investigation of minimisation criteria

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. Green open access

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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
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
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 > 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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