A Bayesian approach to study design and analysis with type I error rate control for response variables of mixed types
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Publication:6617531
DOI10.1002/sim.9696zbMath1545.62202MaRDI QIDQ6617531
E. M. Alt, Joseph G. Ibrahim, Matthew A. Psioda
Publication date: 11 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
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- The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
- Efficient Bayesian inference for Gaussian copula regression models
- Efficient computation of adjusted \(p\)-values for resampling-based stepdown multiple testing
- Generating random correlation matrices based on vines and extended onion method
- Bayesian perspectives on multiple comparisons.
- A simulation-based approach to Bayesian sample size determination for performance under a given model and for separating models
- Asymptotic normality with small relative errors of posterior probabilities of half-spaces
- On the half-Cauchy prior for a global scale parameter
- Joint modelling of mixed outcome types using latent variables
- Joint Regression Analysis of Correlated Data Using Gaussian Copulas
- Control of the FWER in Multiple Testing Under Dependence
- Asymptotic Statistics
- Bayesian Measures of Model Complexity and Fit
- Estimation of Copula Models With Discrete Margins via Bayesian Data Augmentation
- Reconnecting p-Value and Posterior Probability Under One- and Two-Sided Tests
- Resampling‐Based Empirical Bayes Multiple Testing Procedures for Controlling Generalized Tail Probability and Expected Value Error Rates: Focus on the False Discovery Rate and Simulation Study
- The harmonic mean p -value for combining dependent tests
- Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing
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