Difference between revisions of "QIBA for Statisticians"

From QIBA Wiki
Jump to: navigation, search
Line 7: Line 7:
 
* 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