Comput Math Methods Med - MACT: a manageable minimization allocation system.

Tópicos

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Resumo

CKGROUND: Minimization is a case allocation method for randomized controlled trials (RCT). Evidence suggests that the minimization method achieves balanced groups with respect to numbers and participant characteristics, and can incorporate more prognostic factors compared to other randomization methods. Although several automatic allocation systems exist (e.g., randoWeb, and MagMin), the minimization method is still difficult to implement, and RCTs seldom employ minimization. Therefore, we developed the minimization allocation controlled trials (MACT) system, a generic manageable minimization allocation system. SYSTEM OUTLINE: The MACT system implements minimization allocation by Web and email. It has a unified interface that manages trials, participants, and allocation. It simultaneously supports multitrials, multicenters, multigrouping, multiple prognostic factors, and multilevels.METHODS: Unlike previous systems, MACT utilizes an optimized database that greatly improves manageability. SIMULATIONS AND RESULTS: MACT was assessed in a series of experiments and evaluations. Relative to simple randomization, minimization produces better balance among groups and similar unpredictability.APPLICATIONS: MACT has been employed in two RCTs that lasted three years. During this period, MACT steadily and simultaneously satisfied the requirements of the trial.CONCLUSIONS: MACT is a manageable, easy-to-use case allocation system. Its outstanding features are attracting more RCTs to use the minimization allocation method.

Resumo Limpo

ckground minim case alloc method random control trial rct evid suggest minim method achiev balanc group respect number particip characterist can incorpor prognost factor compar random method although sever automat alloc system exist eg randoweb magmin minim method still difficult implement rcts seldom employ minim therefor develop minim alloc control trial mact system generic manag minim alloc system system outlin mact system implement minim alloc web email unifi interfac manag trial particip alloc simultan support multitri multicent multigroup multipl prognost factor multilevelsmethod unlik previous system mact util optim databas great improv manag simul result mact assess seri experi evalu relat simpl random minim produc better balanc among group similar unpredictabilityappl mact employ two rcts last three year period mact steadili simultan satisfi requir trialconclus mact manag easytous case alloc system outstand featur attract rcts use minim alloc method

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