Economic analysis of randomized controlled trial data: a framework and feedlot cattle case study.

Area of Science:

• Agricultural economics
• Animal science
• Evidence-based research

Background:

• Livestock industry decisions rely on research, particularly randomized controlled trials (RCTs).
• Economic implications heavily influence the adoption of new interventions by producers.
• Economic analyses in beef feedlot RCTs are infrequent and lack standardized methodologies.

Purpose of the Study:

• To compare methodologies for economic assessment in livestock trials.
• To provide guidance for standardized economic evaluations of RCT data.
• To enhance the applicability of research findings for stakeholders.

Main Methods:

• Reviewed common economic analysis methods (e.g., partial budgeting, cost-benefit analysis).
• Proposed partial budgeting as the most suitable strategy for RCT data.
• Demonstrated partial budget application to a beef feedlot RCT using published data.

Main Results:

• Partial budgeting effectively assesses marginal impacts of interventions in RCTs.
• Statistical analysis of pen-level data accounts for biological variability.
• Transparent reporting of economic assessment methods is essential.

Conclusions:

• Standardized and transparent economic evaluations are needed for livestock RCTs.
• Partial budgeting, with statistical analysis, provides a robust framework.
• Improved economic analysis enhances the practical application of research for producers.