Abstract
There are ethical and economic reasons to design and conduct medical research as efficiently as possible. Clinical trials often take a long time because of the number of patients that must be included and the follow-up time in the study. Many data already become available during that time. By making interim analyses of these data it is possible to decide whether a final conclusion can be made. This may save time and may lead to a reduction in the number of patients. The statistical methodology of interim analyses is more complex than a fixed sample analysis and must be planned carefully in advance. The most important methods are sequential analysis and group sequential analysis. Both methods are aimed at a low risk of a false-positive conclusion. In this article we explain the application of these methods as well as considerations in the design of a study and interpretation of the results.
| Translated title of the contribution | When is enough evidence available?; interim analyses in clinical trials |
|---|---|
| Original language | Dutch |
| Pages (from-to) | A5660 |
| Journal | Nederlands Tijdschrift voor Geneeskunde |
| Volume | 157 |
| Issue number | 12 |
| Publication status | Published - 2013 |
Keywords
- Biomedical Research
- Clinical Trials as Topic
- Cost-Benefit Analysis
- Data Interpretation, Statistical
- Evidence-Based Medicine
- Humans
- Models, Statistical
- Planning Techniques
- Research Design
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