Tag: Statistical Methods in Clinical Trials
Derivative-free Bayesian design method for sequential settings
What the study found The study introduces a gradient-free framework for sequential Bayesian optimal experimental design, a way of choosing experiments using probability and uncertainty, for complex systems where gradient information is unavailable. The framework combines Ensemble Kalman Inversion and the Affine-Invariant Langevin Dynamics sampler, and uses variational Gaussian and parametrized Laplace approximations to make…
Matched data pairs affect win ratio patterns and intervals
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in EngineeringWhat the study found The study found that as the number of matched data pairs increases, the win ratio statistic and its 95% confidence intervals change, but not consistently. The authors report that the confidence interval limits tend to move closer together, and that the count of win ratio values above one is not affected…
