Zobrazeno 1 - 10
of 38
pro vyhledávání: '"van Amsterdam Wouter A. C."'
Publikováno v:
Journal of Causal Inference, Vol 11, Iss 1, Pp 10-21 (2023)
Treatment effect estimates are often available from randomized controlled trials as a single average treatment effect for a certain patient population. Estimates of the conditional average treatment effect (CATE) are more useful for individualized tr
Externí odkaz:
https://doaj.org/article/a4c720a115624828af363a72c85ffd76
Autor:
van Amsterdam, Wouter A. C.
Prediction models inform important clinical decisions, aiding in diagnosis, prognosis, and treatment planning. The predictive performance of these models is typically assessed through discrimination and calibration. However, changes in the distributi
Externí odkaz:
http://arxiv.org/abs/2409.01444
Autor:
van Amsterdam, Wouter A. C., van Geloven, Nan, Krijthe, Jesse H., Ranganath, Rajesh, Ciná, Giovanni
Prediction models are popular in medical research and practice. By predicting an outcome of interest for specific patients, these models may help inform difficult treatment decisions, and are often hailed as the poster children for personalized, data
Externí odkaz:
http://arxiv.org/abs/2312.01210
Autor:
van Amsterdam, Wouter A. C., de Jong, Pim A., Verhoeff, Joost J. C., Leiner, Tim, Ranganath, Rajesh
Publikováno v:
BMC Medical Informatics and Decision Making, 24(1), 2024
In cancer research there is much interest in building and validating outcome predicting outcomes to support treatment decisions. However, because most outcome prediction models are developed and validated without regard to the causal aspects of treat
Externí odkaz:
http://arxiv.org/abs/2209.07397
Treatment effect estimates are often available from randomized controlled trials as a single average treatment effect for a certain patient population. Estimates of the conditional average treatment effect (CATE) are more useful for individualized tr
Externí odkaz:
http://arxiv.org/abs/2204.13975
Autor:
van Amsterdam, Wouter A. C.1,2 (AUTHOR) w.a.c.vanamsterdam-3@umcutrecht.nl, de Jong, Pim A.2 (AUTHOR), Verhoeff, Joost J. C.3 (AUTHOR), Leiner, Tim2,4 (AUTHOR), Ranganath, Rajesh5 (AUTHOR)
Publikováno v:
BMC Medical Informatics & Decision Making. 4/26/2024, p1-7. 7p.
Publikováno v:
npj Digit. Med. 2, 122 (2019)
Deep learning has shown remarkable results for image analysis and is expected to aid individual treatment decisions in health care. To achieve this, deep learning methods need to be promoted from the level of mere associations to being able to answer
Externí odkaz:
http://arxiv.org/abs/1904.00942
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Autor:
van Amsterdam, Wouter A. C.1,2 (AUTHOR) w.a.c.vanamsterdam@gmail.com, Verhoeff, Joost. J. C.1 (AUTHOR), Harlianto, Netanja I.1 (AUTHOR), Bartholomeus, Gijs A.1 (AUTHOR), Puli, Aahlad Manas3 (AUTHOR), de Jong, Pim A.1 (AUTHOR), Leiner, Tim1 (AUTHOR), van Lindert, Anne S. R.1 (AUTHOR), Eijkemans, Marinus J. C.1 (AUTHOR), Ranganath, Rajesh3,4 (AUTHOR)
Publikováno v:
Scientific Reports. 4/7/2022, Vol. 12 Issue 1, p1-11. 11p.
Akademický článek
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