Related Experiment Video
Updated: Aug 6, 2026
A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
Published on: September 20, 2019
Issues in the use of adaptive clinical trial designs
1Department of Biostatistics, University of Washington, Seattle, Washington 9815, USA. semerson@u.washington.edu
Abstract:
Sequential sampling plans are often used in the monitoring of clinical trials in order to address the ethical and efficiency issues inherent in human testing of a new treatment or preventive agent for disease. Group sequential stopping rules are perhaps the most commonly used approaches, but in recent years, a number of authors have proposed adaptive methods of choosing a stopping rule. In general, such adaptive approaches come at a price of inefficiency (almost always) and clouding of the scientific question (sometimes). In this paper, I review the degree of adaptation possible within the largely prespecified group sequential stopping rules, and discuss the operating characteristics that can be characterized fully prior to collection of the data. I then discuss the greater flexibility possible when using several of the adaptive approaches receiving the greatest attention in the statistical literature and conclude with a discussion of the scientific and statistical issues raised by their use.
Insights
This study reviews adaptive methods for clinical trial stopping rules, comparing group sequential methods with newer adaptive approaches. It highlights the trade-offs between flexibility, efficiency, and scientific clarity in clinical trial monitoring.
Area of Science:
- Biostatistics
- Clinical Trial Design
- Medical Ethics
Background:
- Sequential sampling plans are crucial for ethical and efficient clinical trials.
- Group sequential stopping rules are widely adopted but have limitations.
- Adaptive methods offer potential improvements but introduce complexities.
Purpose of the Study:
- To review adaptation possibilities within group sequential stopping rules.
- To discuss operating characteristics of adaptive methods.
- To explore the scientific and statistical implications of adaptive approaches in clinical trials.
Main Methods:
- Review of existing literature on group sequential and adaptive stopping rules.
- Analysis of operating characteristics for different adaptive strategies.
- Discussion of statistical and scientific considerations.
Main Results:
- Group sequential rules allow limited adaptation.
- Adaptive methods offer greater flexibility but can reduce efficiency and scientific clarity.
- Operating characteristics of adaptive methods require careful consideration.
Conclusions:
- Adaptive methods present a trade-off between flexibility and statistical rigor.
- Careful consideration of scientific and statistical issues is needed for adaptive trial designs.
- Further research is warranted on optimizing adaptive stopping rules.
Related Concept Videos
01:16Clinical Trials
There are four phases in a clinical trial. A phase one...
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
01:11Clinical Trials: Overview
01:15Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
01:20Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs
01:11Blinding