Difference between revisions of "QIBA for Statisticians"
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(Created page with "'''QIBA Mission: Improve the value and practicality of quantitative imaging biomarkers by reducing variability across devices, sites, patients, and time.''' QIBA develops P...") |
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* 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 | ||
* (being provided with good estimates of the technical performance of QIBs obtained using a given QIBA Profile) | * (being provided with good estimates of the technical performance of QIBs obtained using a given QIBA Profile) | ||
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Statisticians '''participate''' in QIBA Profiles by: | Statisticians '''participate''' in QIBA Profiles by: | ||
* supporting testing of actors’ conformance with requirements in a given QIBA Profile | * supporting testing of actors’ conformance with requirements in a given QIBA Profile | ||
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Statisticians may also '''consider''': | Statisticians may also '''consider''': |
Revision as of 00:17, 4 September 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:
- 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
- (being provided with good estimates of the technical performance of QIBs obtained using a given QIBA Profile)
Statisticians participate in QIBA Profiles by:
- supporting testing of actors’ conformance with requirements in a given QIBA Profile
Statisticians may also consider:
- optimizing study design in clinical trials with QIBs
- determining sample size calculations for clinical trials using QIBs
- providing unbiased estimates of treatment effects when QIBs are endpoints