Difference between revisions of "QIBA for Statisticians"
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* '''determine sample size''' for clinical trials using QIBs | * '''determine sample size''' for clinical trials using QIBs | ||
* '''provide unbiased estimates''' of treatment effects when QIBs are endpoints | * '''provide unbiased estimates''' of treatment effects when QIBs are endpoints | ||
| + | |||
| + | <First Steps> | ||
| + | * Who to contact to get involved - qiba@rsna.org (provide staff with a list of "responder" volunteers for more in depth) | ||
| + | * Document to start with? | ||
| + | * ??? | ||
Revision as of 21:37, 5 November 2019
QIBA Mission: Improve the value and practicality of quantitative imaging biomarkers by reducing variability across devices, sites, patients, and time.
QIBA develops Profile documents that standardize methods for creating a specific biomarker with predictable performance (accuracy and reproducibility).
Statisticians benefit from QIBA by:
- having good estimates of the technical performance of QIBs obtained using a given QIBA Profile
- understanding the role of technical performance characteristics (repeatability, reproducibility, bias, linearity) in the study design and analysis of clinical trials with quantitative imaging biomarkers (QIBs)
- understanding the role of technical performance characteristics in quantifying change in individual patients
Statisticians may also:
- support testing of actors’ conformance
- optimize study design in clinical trials with QIBs
- determine sample size for clinical trials using QIBs
- provide unbiased estimates of treatment effects when QIBs are endpoints
<First Steps>
- Who to contact to get involved - qiba@rsna.org (provide staff with a list of "responder" volunteers for more in depth)
- Document to start with?
- ???