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Monitoring a clinical trial with multiple hypotheses concerning the treatment effect on a single primary endpoint
Abstract:
In a number of clinical trials there is interest in testing more than one hypothesis concerning the treatment effect on a single primary endpoint. For instance, a sponsor of a trial to demonstrate that a test treatment (T) is non-inferior to an active control (R) may also be interested in showing that T is superior to R, if this is the case. Using the closed testing method for constructing tests of multiple hypotheses which control the multiple level of significance, we provide a framework for testing these hypotheses sequentially during a trial at pre-planned interim analyses.
Insights
This study introduces a sequential testing framework for clinical trials evaluating multiple hypotheses on a primary endpoint. It uses the closed testing method to control significance levels during interim analyses, enhancing trial efficiency.
Area of Science:
- Clinical trial methodology
- Statistical inference in medicine
Background:
- Clinical trials often assess multiple hypotheses regarding treatment effects on a single primary endpoint.
- Demonstrating both non-inferiority and superiority of a test treatment (T) over an active control (R) is a common scenario.
Purpose of the Study:
- To provide a framework for sequentially testing multiple hypotheses in clinical trials.
- To utilize pre-planned interim analyses for hypothesis testing.
- To control the overall multiple level of significance.
Main Methods:
- Application of the closed testing method.
- Sequential testing of hypotheses at interim analyses.
- Focus on controlling the multiple level of significance.
Main Results:
- A framework is provided for sequential hypothesis testing in clinical trials.
- The method controls the overall significance level when multiple hypotheses are tested.
- Facilitates testing of non-inferiority and superiority within a single trial structure.
Conclusions:
- The proposed framework enables efficient sequential testing of multiple hypotheses in clinical trials.
- This approach allows for early decision-making at interim analyses while maintaining statistical rigor.
- It addresses the common need to evaluate both non-inferiority and superiority of treatments.