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Showing 1 to 2 of 2 for “"Binomial data models."”.

  1. Sample size determination for two sample binomial and Poisson data models based on Bayesian decision theory.

    … in order to reach a desired expected power for binomial data under the Bayesian paradigm. We make improvements to their efforts that allow us to specify not only a desired expected Bayesian power, but also a more generic loss function and a desired expected Bayesian significance level, the …

    baylor Repository record for Sample size determination for two sample binomial and Poisson data models based on Bayesian decision theory. (opens in a new tab)

  2. Bayesian sample-size determination and adaptive design for clinical trials with Poisson outcomes.

    … predictive adaptive two-stage design for Poisson data that allows for sample-size adjustments by basing the second-stage sample size on the first-stage results. Lastly, we present a new Bayesian meta-analytic non-inferiority method for binomial data that allows researchers a more direct …

    baylor Repository record for Bayesian sample-size determination and adaptive design for clinical trials with Poisson outcomes. (opens in a new tab)