Results 251 to 260 of about 211,042 (267)
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Sequential Monitoring of Conditional Randomization Tests: Generalized Biased Coin Designs

Sequential Analysis, 2008
Abstract For the generalized biased coin class of randomization procedures, Smythe (1988) proved asymptotic normality of the conditional linear rank test. Clinical trialists often undertake interim analysis to determine whether to stop the trial early for a substantial treatment effect.
Yanqiong Zhang, William F. Rosenberger
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Optimum biased coin designs for sequential clinical trials with prognostic factors

Biometrika, 1982
Patients in a clinical trial arrive sequentially and are assigned to one of t treatments. This assignment should maintain a balance between the numbers receiving each treatment, yet should be sufficiently random to avoid any suspicion of conscious or unconscious cheating. To balance these requirements Efron (1971) introduced biased coin designs for the
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Adaptive biased-coin designs for skewing the allocation proportion in clinical trials with normal responses

Statistics in Medicine, 2005
Response adaptive designs are used in phase III clinical trial for skewing the allocation pattern towards the better treatments. We use optimum design theory to derive adaptive designs when the responses are normally distributed. The performance of the designs is studied with respect to the loss and the proportion of allocation to different treatments.
A C, Atkinson, A, Biswas
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The covariate-adaptive biased coin design for balancing clinical trials in the presence of prognostic factors

Biometrika, 2011
The present paper deals with sequential designs intended to balance the allocations of two competing treatments in the presence of prognostic factors. After giving a theoretical framework on the optimality of balanced designs that can arise when covariates are taken into account, we propose a new family of covariate-adaptive randomized designs that ...
BALDI ANTOGNINI, ALESSANDRO   +1 more
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Optimum biased-coin designs for sequential treatment allocation with covariate information

Statistics in Medicine, 1999
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
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Which design is better? Ehrenfest urn versus biased coin

Advances in Applied Probability, 2000
Two features are desired in designing a sequential clinical trial: randomness and balance. The former makes the ground for valid statistical inferences and the latter strengthens efficiency in inference procedures. Unfortunately randomness and balance can be in conflict with one another, and clinicians may be caught between the need for both of them ...
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Determining the 90% Effective Dose of Remimazolam to Prevent Physical Movement in Surgical Abortions: A Biased-Coin Up-and-Down Sequential Allocation Trial

Drug Design, Development and Therapy
Background Remimazolam is widely employed in surgical abortions. However, its dosing references from clinical studies such as gastrointestinal and bronchoscopic anesthesia have resulted in high incidence of physical movement.
Fuquan Fang   +7 more
semanticscholar   +1 more source

Sequential analysis of Durham and Flournoy's biased coin design for phase I clinical trials

2023
In a phase I clinical trial, we are interested in finding a dose mu that will produce toxicity at an acceptable probability level Gamma in the target population. We investigate various estimators of the target dose mu to be used with the up-and-down Biased Coin Design (BCD) introduced by Durham and Flournoy (1994).
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