hould minimise the imbalance across multiple factors. Table 1 shows some baseline characteristics in a controlled trial comparing two types of counselling in relation to dietary …

Minimisation To carry out minimization one begins by selecting the factors we wish to control. These need to be categorical variable or converted into such by banding.

In this Tutorial, the performance of minimization, a popular covariate-adaptive procedure, is compared with two other commonly used procedures, completely random allocation and …

Minimization is a dynamic algorithm (Pocock & Simon, 1975). Based on stratification factor levels of patients currently on the trial and the treatments each of them is assigned, an imbalance …

The first step in solving a standard minimization problem using duality is to write the information into a matrix, ignoring everything you know about slack variables and objective functions. The …

What is Minimization? Why is Minimization Important? HOW ABOUT THIS? is an equivalence relation (why?) How many equivalence classes are there? Example: Is 1 ∼ M 11? 10 ∼ M 00? …

In this Tutorial, the performance of minimization, a popular covariate-adaptive procedure, is com-pared with two other commonly used procedures, completely random allocation and stratified …