Sample size calculations in clinical research should also be based on ethical principles

Area of Science:

• Biostatistics
• Clinical Trial Design
• Statistical Power Analysis

Background:

• Traditional sample size calculations often rely on fixed confidence limits, leading to ethically high sample sizes and increased trial costs.
• This approach can render research practically unfeasible due to excessive resource requirements.

Discussion:

• We introduce an alternative methodology for sample size determination in clinical research.
• This method integrates the statistical power of a hypothesis test with the precision afforded by confidence intervals.

Key Insights:

• The proposed method aims to achieve adequate precision without inflating sample sizes to ethically unacceptable levels.
• It offers a practical solution to the challenges posed by overly stringent sample size requirements in clinical trials.
• This approach balances the need for statistical rigor with the economic and ethical constraints of research.

Outlook:

• Further validation of this combined power and precision approach is warranted across diverse clinical trial settings.
• This methodology could lead to more efficient and ethical clinical trial designs.
• Adoption of this method may reduce the financial and logistical burdens associated with clinical research.