New math could make clinical trials more accurate
NCT ID NCT03964402
First seen Jun 26, 2026 · Last updated Jun 26, 2026
Summary
This study aims to create better statistical methods for determining how many participants are needed in clinical trials. It accounts for differences among patients, such as varying health risks or treatment responses. The goal is to make trials more reliable without testing any specific drug or therapy.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could improve how clinical trials are designed, making them more reliable and efficient for testing new treatments.
- What could go wrong
- This is a statistical methods study, not a treatment trial. It does not test any drug or therapy, so it cannot directly help patients.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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500 people
The number who actually took part.
- Started
-
Jan 2019
- Finished
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Dec 2024
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Any comparative clinical trial for which modern statistical methods are required to estimate sample size, in particular, it can be clinical trials : * with heterogeneous populations, * with recurrent event data, * involving a biomarker-Strategy Designs With Multiple Treatments.
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
- Healthy volunteers
-
Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Any comparative clinical trial for which modern statistical methods are required to estimate sample size
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Institut Bergonié, Comprehensive Cancer Center
Bordeaux, 33400, France
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