Difference between revisions of "QIBA for Statisticians"
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* 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 | ||
| − | * having access to good estimates of the technical performance of QIBs obtained using a given QIBA Profile | + | * having access to '''good estimates of the technical performance''' of QIBs obtained using a given QIBA Profile |
| Line 15: | Line 15: | ||
Statisticians '''may also''': | Statisticians '''may also''': | ||
| − | * optimize study design in clinical trials with QIBs | + | * '''optimize study design''' in clinical trials with QIBs |
| − | * determine sample size calculations for clinical trials using QIBs | + | * '''determine sample size''' calculations 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 | ||
Revision as of 19:30, 15 October 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
- having access to 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:
- optimize study design in clinical trials with QIBs
- determine sample size calculations for clinical trials using QIBs
- provide unbiased estimates of treatment effects when QIBs are endpoints