A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint

Autor: Hoogland, J, IntHout, J, Belias, M, Rovers, MM, Riley, RD, Harrell Jr, FE, Moons, KGM, Debray, TPA, Reitsma, JB

Randomized trials typically estimate average relative treatment effects, but decisions on the benefit of a treatment are possibly better informed by more individualized predictions of the absolute treatment effect. In case of a binary outcome, these

Externí odkaz: http://arxiv.org/abs/2106.05588

Evaluating individualized treatment effect predictions: a new perspective on discrimination and calibration assessment

Autor: Hoogland, J, Efthimiou, O, Nguyen, TL, Debray, TPA

Personalized medicine constitutes a growing area of research that benefits from the many new developments in statistical learning. A key domain concerns the prediction of individualized treatment effects, and models for this purpose are increasingly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b6482fe6659df8bf85d21e0fbd1dae5
http://arxiv.org/abs/2209.06101

UMBRELLA protocol: systematic reviews of multivariable biomarker prognostic models developed to predict clinical outcomes in patients with heart failure

Autor: Clare J Taylor, Vazquez-Montes Mdla., Nicholas R Jones, Emmanuella Magriplis, Hugo Maruri-Aguilar, J Parissis, Hobbs Fdrr., Marialena Trivella, Kathryn Mary Taylor, Moons Kgm., Gary S. Collins, Rafael Perera, Debray Tpa., Kadoglou Npe., Benjamin Speich, Nia Roberts

Publikováno v: Diagnostic and Prognostic Research, Vol 4, Iss 1, Pp 1-9 (2020)
Diagnostic and Prognostic Research

BackgroundHeart failure (HF) is a chronic and common condition with a rising prevalence, especially in the elderly. Morbidity and mortality rates in people with HF are similar to those with common forms of cancer. Clinical guidelines highlight the ne

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f02937dcbde07ab431301ed3d827e89
http://link.springer.com/article/10.1186/s41512-020-00081-4

Meta-analysis and aggregation of multiple published prediction models

Autor: Debray, TPA, Koffijberg, H, Nieboer, Daan, Vergouwe, Yvonne, Steyerberg, Ewout, Moons, KGM (Karel)

Publikováno v: Statistics in Medicine, 33(14), 2341-2362. John Wiley & Sons Ltd.

Published clinical prediction models are often ignored during the development of novel prediction models despite similarities in populations and intended usage. The plethora of prediction models that arise from this practice may still perform poorly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::e5fb8f297d01f3dc89c76353ac3ad2e4
https://pure.eur.nl/en/publications/3804eb96-f899-490c-a238-acaa7f03123b

The use of imputation in clinical decision support systems: a cardiovascular risk management pilot vignette study among clinicians.

Autor: Haitjema S; Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands., Nijman SWJ; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands., Verkouter I; Department Clinical Care & Research, Ortec B.V., Zoetermeer, The Netherlands., Jacobs JJL; Department Clinical Care & Research, Ortec B.V., Zoetermeer, The Netherlands., Asselbergs FW; Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.; Department of Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.; Institute of Health Informatics, University College London, London, UK., Moons KGM; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands., Beekers I; Department Clinical Care & Research, Ortec B.V., Zoetermeer, The Netherlands., Debray TPA; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.; Institute of Health Informatics, University College London, London, UK., Bots ML; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.

Publikováno v: European heart journal. Digital health [Eur Heart J Digit Health] 2024 Aug 10; Vol. 5 (5), pp. 572-581. Date of Electronic Publication: 2024 Aug 10 (Print Publication: 2024).