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Validation

C-SATS started as a research project at the University of Washington and has since validated its methods in many applications.  

 
 
 

C-SATS uses a three-pronged analytic approach to provide customers accurate, unbiased results:

  • We use advanced hierarchical statistical models to generate performance scores that account for multiple levels of variability.  
  • We weight ratings from multiple groups of reviewers according to their historical accuracy and experience with C-SATS.
  • We utilize split-sample cross-validation to develop prediction models that provide unbiased results, even for the very best (or worst) performances.
 

2017


Peer Reviewed Abstracts

INVITED NATIONAL AND INTERNATIONAL C-SATS PRESENTATIONS FOR ACADEMIC CENTERS/PROFESSIONAL SOCIETIES


2016


Peer-Reviewed Manuscripts

Peer-Reviewed Abstracts

INVITED NATIONAL AND INTERNATIONAL C-SATS PRESENTATIONS FOR ACADEMIC CENTERS/PROFESSIONAL SOCIETIES


2015


Peer-Reviewed Manuscripts

Peer Reviewed Abstracts

INVITED NATIONAL AND INTERNATIONAL C-SATS PRESENTATIONS FOR ACADEMIC CENTERS/PROFESSIONAL SOCIETIES


2014


Peer Reviewed Manuscripts

Peer Reviewed Abstracts

INVITED NATIONAL AND INTERNATIONAL C-SATS PRESENTATIONS FOR ACADEMIC CENTERS/PROFESSIONAL SOCIETIES


2013-2012


Peer Reviewed Manuscripts

Invited National and International C-SATS Presentations for Academic Centers/Professional Societies