Literature DB >> 10407244

Optimum biased-coin designs for sequential treatment allocation with covariate information.

A C Atkinson1.   

Abstract

Randomized optimum designs of biased-coin type are compared with other strategies for the sequential allocation of two or more treatments in a clinical trial. The emphasis is on the variance of estimated treatment contrasts. This variance, which depends on the design strategy employed, may be interpreted as the number of patients on whom information is lost. Simulations provide clear plots of the evolution of this loss during the course of the clinical trial. Copyright 1999 John Wiley & Sons, Ltd.

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Year:  1999        PMID: 10407244     DOI: 10.1002/(sici)1097-0258(19990730)18:14<1741::aid-sim210>3.0.co;2-f

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  4 in total

1.  Minimal sufficient balance-a new strategy to balance baseline covariates and preserve randomness of treatment allocation.

Authors:  Wenle Zhao; Michael D Hill; Yuko Palesch
Journal:  Stat Methods Med Res       Date:  2012-01-26       Impact factor: 3.021

2.  Adaptive Isotonic Estimation of the Minimum Effective and Peak Doses in the Presence of Covariates.

Authors:  Changfu Xiao; Anastasia Ivanova
Journal:  J Stat Plan Inference       Date:  2012-07-01       Impact factor: 1.111

3.  Optimum treatment allocation rules under a variance heterogeneity model.

Authors:  Weng Kee Wong; Wei Zhu
Journal:  Stat Med       Date:  2008-09-30       Impact factor: 2.373

Review 4.  Allocation techniques for balance at baseline in cluster randomized trials: a methodological review.

Authors:  Noah M Ivers; Ilana J Halperin; Jan Barnsley; Jeremy M Grimshaw; Baiju R Shah; Karen Tu; Ross Upshur; Merrick Zwarenstein
Journal:  Trials       Date:  2012-08-01       Impact factor: 2.279

  4 in total

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