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Published on: November 9, 2018
Multiple comparisons and multiple contrasts in randomized dose-response trials--confidence interval oriented
1Institute for Biostatistics, Leibniz University of Hannover, Germany. hothorn@biostat.uni-hannover.de
Journal of Biopharmaceutical Statistics
|October 14, 2006
Summary
This study presents methods for analyzing randomized dose-finding trials using simultaneous confidence intervals. It covers superiority, noninferiority, and dose identification, aiding clinical trial evaluation.
Area of Science:
- Biostatistics
- Clinical Trial Design
- Pharmacometrics
Background:
- ICH E9 guidelines emphasize graphical presentation of simultaneous confidence intervals for dose-finding trials.
- Evaluating multiple dose-response scenarios requires robust statistical methods.
Purpose of the Study:
- To outline methods for evaluating randomized dose-finding trials using simultaneous confidence intervals.
- To address various objectives including superiority, noninferiority, and dose identification.
Main Methods:
- Utilizing simultaneous confidence intervals for graphical presentation of trial results.
- Employing multiple contrasts for different problem-specific definitions.
- Defining relevance margins for superiority and noninferiority assessments.
- Applying ratio-to-placebo confidence intervals when absolute thresholds are difficult.
Main Results:
- Demonstrated graphical methods for assessing dose-finding trial outcomes.
- Provided examples using R packages 'multcomp' for difference-based hypotheses and 'mratios' for ratio-based hypotheses.
- Illustrated approaches for superiority, noninferiority, minimum effective dose, peak dose, and maximum safe dose identification.
Conclusions:
- Simultaneous confidence intervals offer a comprehensive framework for evaluating dose-finding trials.
- The presented methods facilitate informed decision-making regarding optimal dosing strategies.
- The use of R packages enhances the practical application of these statistical techniques.
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