A contribution to Covariate Adaptive Randomization

dc.contributor.author	Osman,Montasir Ahmed
dc.date.accessioned	2017-04-26T11:07:22Z
dc.date.available	2017-04-26T11:07:22Z
dc.date.issued	2015
dc.identifier.citation	Osman,Montasir Ahmed.A contribution to Covariate Adaptive Randomization/Montasir Ahmed Osman Mohamed.-Natural and Medical Sciences.-vol16,on1.-2015.-article.	en_US
dc.identifier.issn	ISSN 1605-427X
dc.identifier.uri	http://repository.sustech.edu/handle/123456789/16773
dc.description	article	en_US
dc.description.abstract	Adaptive randomization designs are statistical designs that are used as alternative to pure randomization designs in clinical trials, with the object of reducing imbalance in trials.A new method,to be called critical percentage method (CPM) is introduced and compared with the pure randomization method through a simulation experiment. The simulation showed that, the CPM has minimum imbalance, for all sample sizes (10, 100 and 1000).	en_US
dc.description.sponsorship	Sudan University of Science and Technology	en_US
dc.language.iso	en_US	en_US
dc.publisher	Sudan University of Science and Technology	en_US
dc.subject	covariate variable, imbalance,adaptive design, clinical trial	en_US
dc.title	A contribution to Covariate Adaptive Randomization	en_US
dc.type	Article	en_US