Difference between revisions of "QIBA for Statisticians"
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Statisticians '''benefit''' from QIBA by: | 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 (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 | * understanding the role of technical performance characteristics in quantifying change in individual patients | ||
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| − | Statisticians may also ''' | + | 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''' | ||
| + | * Review basic [[QIBA Concepts]] | ||
| + | * Review specific [[Profiles]] | ||
| + | * Review [[Claim Guidance]] and [[Assessment Procedure Guidance]], which provide statistically-oriented background information on QIBA Profile concepts | ||
| + | * <TODO Add link to the Metrology Papers list> | ||
| + | * Contact [mailto:qiba@rsna.org qiba@rsna.org] to get involved | ||
| + | * Introduce QIBA to other [[Stakeholder Viewpoints| Stakeholders]] | ||
Revision as of 21:10, 19 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
- Review basic QIBA Concepts
- Review specific Profiles
- Review Claim Guidance and Assessment Procedure Guidance, which provide statistically-oriented background information on QIBA Profile concepts
- <TODO Add link to the Metrology Papers list>
- Contact qiba@rsna.org to get involved
- Introduce QIBA to other Stakeholders