Clinical Trial Design as a Decision Problem

Area of Science:

• Clinical Trials
• Decision Theory
• Medical Device Evaluation

Background:

• Randomized clinical trials are essential for comparing treatments.
• Decision-theoretic approaches offer a principled framework for optimizing clinical trial design.
• Integrating utility functions and probability models can guide treatment decisions.

Purpose of the Study:

• To highlight opportunities and limitations of utility-based and decision-theoretic arguments in clinical trial design.
• To illustrate these concepts using a case study comparing a gel sealant to standard care for pulmonary air leaks.
• To discuss general considerations and barriers to adopting decision-theoretic approaches in clinical trials.

Main Methods:

• A case study involving a randomized clinical trial for pulmonary air leak resolution.
• Development of a probability model for time to resolution of air leaks.
• Application of an explicit utility function to quantify clinical preferences.
• Comparison of principled decision-making with practical implementation, including ad-hoc interim analyses.

Main Results:

• The case study demonstrates the application of decision theory to clinical trial design.
• Real-world implementation often involves compromises, such as using ad-hoc boundaries for interim decisions.
• Formal decision problems may be reserved for final trial decisions.

Conclusions:

• Decision-theoretic approaches offer a robust framework for clinical trial design, balancing statistical rigor with clinical utility.
• Practical application requires adapting principled methods to real-world constraints, including interim analyses.
• Wider adoption of decision theory in clinical trials may be facilitated by addressing implementation challenges and demonstrating practical benefits.