Study Findings from University of Melbourne Provide New Insights into Stroke (Adaptive Randomization Method to Prevent Extreme Instances of Group Size and Covariate Imbalance in Stroke Trials).

Předmět:	STROKE CEREBROVASCULAR disease NEWSPAPER editors
Zdroj:	Clinical Trials Week; 7/15/2024, p1761-1761, 1p
Abstrakt:	A recent study conducted by researchers at the University of Melbourne explores the use of adaptive randomization methods in stroke trials. The study focuses on the development of a new algorithm called CSSize-MSB, which aims to achieve both group size and covariate balance while preserving allocation randomness in hyperacute stroke trials. The algorithm was found to outperform the existing CS-MSB algorithm in controlling for group size imbalance, while maintaining comparable levels of covariate balance and allocation randomness. The researchers conclude that the CSSize-MSB algorithm successfully addresses group size imbalance in hyperacute stroke trials and can be easily explained to clinicians using dynamic visualization. [Extracted from the article]
Databáze:	Complementary Index
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