Abstract
Noncompliance is an important concern in randomized trials and must be taken into account when calculating sample sizes. The effect of noncompliance is usually assessed through a simple binary model that assumes that the patient either does or does not comply with the allocated treatment. In this article I present an example from cancer prevention, and show that different time courses of noncompliance can have different effects on the power, with widely varying estimates of the sample size required. The time course as well as the level of noncompliance should be considered when planning trials with long-term treatments.
| Original language | English |
|---|---|
| Pages (from-to) | 157-168 |
| Number of pages | 12 |
| Journal | Controlled Clinical Trials |
| Volume | 11 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jun 1990 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Prevention trials
- breast cancer
- dietary fat
- noncompliance
- power
- sample size
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