469 citations · 748 across the 4 of their papers we have counts for
4 papers
Treatment effect estimation by comparing observed and predicted outcomes: conditions for valid inference and practical illustration
Lotta M. Meijerink, Artuur M. Leeuwenberg, Jungyeon Choi +6
Prediction models developed before the introduction of a new treatment may be used to estimate treatment effects of newly introduced treatments. One approach, known as model-based…
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner +75
Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation int…
Metrics reloaded: Recommendations for image analysis validation
Lena Maier-Hein, Annika Reinke, Patrick Godau +71
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen…
A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint
J Hoogland, J IntHout, M Belias +6
Randomized trials typically estimate average relative treatment effects, but decisions on the benefit of a treatment are possibly better informed by more individualized predictions…