Lessons in Risk – Measurement

Developed by: Professor and ARC Lab Director, Zachary Hamilton

What this series covers

  • Reliability
  • Internal consistency
  • Inter-rater reliability
  • Validation studies
  • External validation
  • Predictive shrinkage
  • Cross-validation
  • Calibration drift
  • Discrimination vs calibration
  • Confidence intervals around AUC

Modules

Module 1

Reliability

Coming Soon
Module 2

Internal Consistency/h3>

Coming Soon
Module 3

Inter-rater Reliability

Coming Soon
Module 4

Validation Studies

Coming Soon
Module 5

External Validation

Coming Soon
Module 6

Predictive Shrinkage

Coming Soon
Module 6

Predictive Shrinkage

Predictive shrinkage refers to the reduction in a risk assessment tool's accuracy when it is used outside the sample in which it was originally developed.

Module 7

Cross-Validation

Coming Soon
Module 8

Calibration Drift

Coming Soon
Module 9

Discrimination vs. Calibration

Coming Soon
Module 10

Confidence Intervals Around AUC

Coming Soon
Predictive Shrinkage