Biased coin designs with a Bayesian bias
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Publication:1209670
DOI10.1016/0378-3758(93)90148-YzbMath0783.62054MaRDI QIDQ1209670
Frank G. Ball, Isabella Verdinelli, Adrian F. M. Smith
Publication date: 16 May 1993
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
entropyasymptotic propertiesBayesian designsequential allocationbiased coin designhierarchical prior distributionssingle, categorical covariate
Design of statistical experiments (62K99) Bayesian problems; characterization of Bayes procedures (62C10)
Related Items (7)
Optimal response and covariate-adaptive biased-coin designs for clinical trials with continuous multivariate or longitudinal responses ⋮ Handling covariates in the design of clinical trials ⋮ Bayesian Adaptive Biased‐Coin Designs for Clinical Trials with Normal Responses ⋮ The properties of entropy as a measure of randomness in a clinical trial ⋮ Predictability of designs which adjust for imbalances in prognostic factors ⋮ A Bayesian adaptive design for two-stage clinical trials with survival data ⋮ Selecting a biased-coin design
Cites Work
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- Properties of biased coin designs in sequential clinical trials
- K-treatment comparisons with restricted randomization rules in clinical trials
- Group invariant orderings and experimental designs
- A strong law for some generalized urn processes
- The adaptive biased coin design for sequential experiments
- Bayesian inference for causal effects: The role of randomization
- G-majorization with applications to matrix orderings
- Bayes D-optimal and E-optimal block designs
- A note on Bayes designs for inference using a hierarchical linear model
- Randomization Analysis of Experimental Data: The Fisher Randomization Test
- Iterative Construction of Nearly Balanced Assignments I: Categorical Covariates
- Optimum biased coin designs for sequential clinical trials with prognostic factors
- Optimal regression design for control in linear regression
- A class of treatment assignment rules for sequential experiments
- The Optimum Design of a Two-Factor Experiment Using Prior Information
- Forcing a sequential experiment to be balanced
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