Whether or not baseline covariates covered by the randomization algorithm should be included in the statistical model has been a hot topic for decades., 7, 8, 30, 31 It is worth noting that the ...

Experimental science seeks to infer causality by isolating the effect of an intervention, uncontaminated by confounding factors. Standard teaching on experimental design is, to quote Munnangi and ...

Overview This repository provides an implementation of the Quicksort algorithm along with performance analysis and randomization enhancements. The project is divided into three main tasks: ...

Since the randomization algorithm assigns a treatment arm but not a covariate category for each subject, it is more common to evaluate treatment imbalance within each covariate category as opposed to ...

Abstract: This paper proposes a new version of the Power of Two Choices, SQ(d), load balancing algorithm that improves the performance of the classical model based on the power of two choices ...

Abstract: This work is motivated by algorithm that is used to analyze the multidimensional genetic data. This algorithm, called permutation test, is widely used as part of gene set enrichment analysis ...