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Showing 1 to 4 of 4 for “"Frequentist methods"”.

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

    … Although most experimenters have employed frequentist methods, the Bayesian paradigm offers a wide variety of methodologies and are becoming increasingly more popular in clinical trials because of their flexibility and their ease of interpretation. Recently, Bayesian approaches have been …

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

  2. Multiple Imputation of Missing Data in Structural Equation Models with Mediators and Moderators Using Gradient Boosted Machine Learning

    … missing data. Unfortunately, commonly used MI methods are not equipped to handle categorical variables or nonlinear variables such as interactions. In this study, we introduce a general MI framework that uses the Bayesian bootstrap (BB) method to generate posterior inferences for indirect …

    odu Repository record for Multiple Imputation of Missing Data in Structural Equation Models with Mediators and Moderators Using Gradient Boosted Machine Learning (opens in a new tab)

  3. Recent Advances in Bayesian Copula Models for Mixed Data and Quantile Regression

    … the proposed approach over existing Bayesian and frequentist methods in terms of prediction, inference, and variable selection.

    rice Repository record for Recent Advances in Bayesian Copula Models for Mixed Data and Quantile Regression (opens in a new tab)

  4. Toward Error-Statistical Principles of Evidence in Statistical Inference

    … pressing question among users of statistical methods is: how can spurious relationships be distinguished from genuine ones? Underlying both of these issues is the concept of evidence. In response to these (and similar) questions, two questions I work on in this essay are: (1) what is a genuine …

    vt Repository record for Toward Error-Statistical Principles of Evidence in Statistical Inference (opens in a new tab)