Sentence examples for may be randomization from inspiring English sources

In this case, the best solution may be randomization as it increases the probability that all confounding variables, known and unknown will be equally distributed across a study group.

The cluster randomized trial design (CRT), in which (existing) groups of individuals are being randomized, may be considered when randomization of individual participants is not feasible or desirable [ 1].

Adaptive randomization may be implemented, with the randomization probabilities depending on the current overall comparison of efficacy across doses.

Missing outcome data are common in clinical trials and despite a well-designed study protocol, some of the randomized participants may leave the trial early without providing any or all of the data, or may be excluded after randomization.

It is precisely when there are hidden variables which may be influential that randomization is most important".

Although not significant, patients in the treatment group had higher baseline mean values (a 4.44 mmHg difference), which may be attributable to randomization.

The maximum value of this statistic is kT, and its significance may be evaluated under randomization by reallocating case-control identities over the exposure traces of the cases and controls as described in the previous section.

These contradictory findings of the trial reported by Pár et al. [ 8] may be related to randomization bias because patients in the silymarin group exhibited more negative predictors of response; for example, these patients were older with higher fibrosis score and showed more severe pretreatment baseline oxidative stress than those in the placebo group [ 8].

The goal of adaptive randomization may be to minimize imbalance in baseline covariates among treatment groups (covariate-adaptive randomization) or to increase the proportion of patients assigned to the seemingly more effective treatment while reducing overall trial enrollment (response-adaptive randomization).

A key property of CRTs is that inferences or analyses are frequently done to apply at the individual level while randomization is at the cluster level, thus the unit of randomization may be different from the unit of inference or analysis.

While the approach to randomization above is relatively simple to implement, more constrained forms of randomization may be preferrable.