STRATOS TG6 papers

Published

1. Background on the need for thresholds, which move a prediction model to a decision rule
   Wynants L, van Smeden M, McLernon DJ, Timmerman D, Steyerberg EW, Van Calster B; Topic Group ‘Evaluating diagnostic tests and prediction models’ of the STRATOS initiative.
   Three myths about risk thresholds for prediction models. BMC Med. 2019 Oct 25;17:192. doi: 10.1186/s12916-019-1425-3.

2. Discussion of calibration as a key property of prediction models
   Van Calster B, McLernon DJ, Van Smeden M, Wynants L, Steyerberg EW; for Topic Group 6 of the STRATOS initiative.
   Calibration: the Achilles heel of predictive analytics. BMC Med 2019 Dec 16;17:230. doi: 10.1186/s12916-019-1466-7

3. Performance assessment for competing risk models
   Van Geloven N, Giardiello D, Bonneville EF, Teece L, Ramspek CL, van Smeden M, Snell KIE, van Calster B, Pohar-Perme M, Riley RD, Putter H, Steyerberg E; STRATOS initiative.
   Validation of prediction models in the presence of competing risks: a guide through modern methods. BMJ. 2022 May 24;377:e069249. doi: 10.1136/bmj-2021-069249

4. Performance assessment for survival models
   McLernon DJ, Giardiello D, Van Calster B, Wynants L, van Smeden M, Therneau T, Steyerberg EW; topic groups 6 and 8 of the STRATOS Initiative.
   Assessing Performance and Clinical Usefulness in Prediction Models With Survival Outcomes: Practical Guidance for Cox Proportional Hazards Models. Ann Intern Med 2022 Dec 27. doi: 10.7326/M22-0844

In preparation

5. Performance assessment for dynamic survival models
   Hein Putter et al

6. Performance assessment for survival models with age as the time axis
   Terry Therneau et al