Permutation-based multiple testing corrections for \( P \)-values and confidence intervals for cluster randomized trials
From MaRDI portal
Publication:6626900
DOI10.1002/sim.9831zbMATH Open1548.62476MaRDI QIDQ6626900
Samuel I. Watson, Joshua O. Akinyemi, Karla Hemming
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- Efficient computation of adjusted \(p\)-values for resampling-based stepdown multiple testing
- A Newton-Raphson version of the multivariate Robbins-Monro procedure
- Multiple hypothesis testing in microarray experiments.
- A review of modern multiple hypothesis testing, with particular attention to the false discovery proportion
- A stagewise rejective multiple test procedure based on a modified Bonferroni test
- An Improved Sequentially Rejective Bonferroni Test Procedure
- A sharper Bonferroni procedure for multiple tests of significance
- On the Relationship Between Stepwise Decision Procedures and Confidence Sets
- Confidence Intervals from Randomization Tests
- Optimal Permutation Tests for the Analysis of Group Randomized Trials
- Generating Monte Carlo Confidence Intervals by the Robbins-Monro Process
- Simultaneous Confidence Regions Corresponding to Holm's Step‐Down Procedure and Other Closed‐Testing Procedures
- Stepwise Multiple Testing as Formalized Data Snooping
- Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing
- A Stochastic Approximation Method
- Power Analysis for Cluster Randomized Trials with Continuous Coprimary Endpoints
- Controlling the familywise error rate when performing multiple comparisons in a linear latent variable model
- Design and analysis of three-arm parallel cluster randomized trials with small numbers of clusters
- Constrained randomization and statistical inference for multi-arm parallel cluster randomized controlled trials
- Randomization-based inference for a marginal treatment effect in stepped wedge cluster randomized trials
- Design and analysis of cluster randomized trials with time-to-event outcomes under the additive hazards mixed model
This page was built for publication: Permutation-based multiple testing corrections for \( P \)-values and confidence intervals for cluster randomized trials
