Counterfactual Clinical Prediction Models Could help to Infer Individualised Treatment Effects in Randomised Controlled Trials – an Illustration with the International Stroke Trial

Tri-Long Nguyen; Gary S. Collins; Paul Landais; Yannick Le Manach

doi:10.1016/j.jclinepi.2020.05.022

Counterfactual Clinical Prediction Models Could help to Infer Individualised Treatment Effects in Randomised Controlled Trials – an Illustration with the International Stroke Trial

Tri-Long Nguyen^*, Gary S. Collins, Paul Landais, Yannick Le Manach

^*Corresponding author af dette arbejde

Afdeling for Epidemiologi

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

23 Citationer (Scopus)

Originalsprog	Engelsk
Tidsskrift	Journal of Clinical Epidemiology
Vol/bind	125
Sider (fra-til)	47-56
Antal sider	10
ISSN	0895-4356
DOI	https://doi.org/10.1016/j.jclinepi.2020.05.022
Status	Udgivet - 2020

Adgang til dokumentet

10.1016/j.jclinepi.2020.05.022

Citationsformater

Counterfactual Clinical Prediction Models Could help to Infer Individualised Treatment Effects in Randomised Controlled Trials – an Illustration with the International Stroke Trial. / Nguyen, Tri-Long; Collins, Gary S.; Landais, Paul et al.
I: Journal of Clinical Epidemiology, Bind 125, 2020, s. 47-56.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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AU - Le Manach, Yannick

PY - 2020

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