The performance of biased-coin minimization in multicenter randomized clinical trials

摘要: Randomized clinical trials (RCTs) are widely used as the gold standard for comparative medical studies. Using randomization to determine treatment assignment assures that all patients have same chance of being assigned each group and groups comparable in terms distributions prognostic factors. When not comparable, power statistical test will be decreased. Moreover, problem imbalance becomes more notable when it occurs important factors because could result a significant bias assessing differences by group. The most intuitive simple form is complete randomization. However, with there still an on In order overcome using randomization, restricted procedures were proposed. some argued unintended consequence restrictions placed they create patterns allow prediction future allocation. Furthermore, questioned accuracy model-based inference conventional asymptotic under allocation. This dissertation concerned assessment performance biased-coin minimization. The twofold. first aspect balancing properties also probability predicting second compare results from classical test, log-rank based population model while minimization applied. Randomized research demonstrating efficacy therapies treat general community. Allocation methods promote balance key between assure validity trials. It assess dynamic allocation demonstrate these applied designed develop treatments enhance public health.