Optimizing Cost-Efficiency in Exposure Assessment
Author Information
Author(s): Mathiassen Svend Erik, Bolin Kristian
Primary Institution: Centre for Musculoskeletal Research, University of Gävle, Sweden
Hypothesis
How can medical researchers achieve optimal cost-efficiency in exposure assessment?
Conclusion
The study provides mathematical procedures for designing cost-efficient exposure assessment strategies, although empirical evidence on costs is lacking.
Supporting Evidence
- The study developed explicit mathematical rules for optimal allocation of measurements.
- Non-linear cost functions significantly influenced optimal allocation strategies.
- The optimal strategy often involved measuring from as many subjects as possible on one occasion.
Takeaway
This study helps researchers figure out the best way to spend money when measuring exposure to things like chemicals, so they get the most accurate results.
Methodology
The study used a hierarchical, nested measurement model and developed cost models to assess statistical performance and costs across 225 scenarios.
Limitations
The lack of empirical evidence on costs and appropriate cost functions limits the generalizability of the findings.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website