The Tukey trend test: Multiplicity adjustment using multiple marginal models

DOI10.1111/BIOM.13442zbMath1520.62318OpenAlexW3128602918MaRDI QIDQ6055568

Christian Ritz, Frank Schaarschmidt, Ludwig A. Hothorn

Publication date: 30 October 2023

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.13442

zbMATH Keywords

toxicologymultivariate normaldose-responsemultiple endpointsadjustment of \(p\)-values

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Computation of multivariate normal and \(t\) probabilities
• Dose finding in drug development.
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• Two-Sample Asymptotically Distribution-Free Tests for Incomplete Multivariate Observations
• A Multiple Comparison Procedure for Comparing Several Treatments with a Control
• Combining dependent tests with incomplete repeated measurements
• Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood
• Adjusted Regression Trend Test for a Multicenter Clinical Trial
• Testing the Statistical Certainty of a Response to Increasing Doses of a Drug
• Simultaneous Inference in General Parametric Models
• BMA‐Mod: A Bayesian model averaging strategy for determining dose‐response relationships in the presence of model uncertainty
• Likelihood ratio tests for a dose‐response effect using multiple nonlinear regression models
• Combining Multiple Comparisons and Modeling Techniques in Dose‐Response Studies

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