QIBA for Statisticians: Difference between revisions
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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 | ||
Statisticians '''may also''': | Statisticians '''may also''': | ||
* '''support testing''' of actors’ conformance | |||
* '''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 21:17, 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:
- 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 calculations for clinical trials using QIBs
- provide unbiased estimates of treatment effects when QIBs are endpoints