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Updated: May 13, 2026
04:53
A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
Published on: September 20, 2019
[When is enough evidence available?; interim analyses in clinical trials]
Ingeborg van van der Tweel1, Kit C B Roes
1UMC Utrecht, Julius Centrum voor Gezondheidswetenschappen en Eerstelijns Geneeskunde, afd. Biostatistiek & Research Support, Utrecht, the Netherlands. i.vandertweel@umcutrecht.nl
Nederlands Tijdschrift Voor Geneeskunde
|March 22, 2013
Summary
Efficient medical research using interim analyses can save time and reduce patient numbers. Statistical methods like sequential analysis help reach conclusions faster while minimizing false positives.
Area of Science:
- Clinical research methodology
- Biostatistics
- Medical research ethics
Context:
- Clinical trials are lengthy due to large patient cohorts and extended follow-up periods.
- Significant data often accrues during a trial's duration.
- Ethical and economic imperatives drive the need for research efficiency.
Purpose:
- To explore the application of interim analyses in clinical trials.
- To explain statistical methodologies for efficient trial design.
- To guide the interpretation of results from interim analyses.
Summary:
- Interim analyses allow for early decision-making on trial conclusions using accumulating data.
- Methods like sequential and group sequential analysis are crucial for efficient trial design.
- These statistical approaches aim to minimize the risk of false-positive outcomes.
Impact:
- Accelerated clinical trial timelines.
- Potential reduction in the number of patients required for studies.
- Improved efficiency in medical research, benefiting both economics and ethics.
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