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

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Standard

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; Le Manach, Yannick.

I: Journal of Clinical Epidemiology, Bind 125, 2020, s. 47-56.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Nguyen, T-L, Collins, GS, Landais, P & Le Manach, Y 2020, 'Counterfactual Clinical Prediction Models Could help to Infer Individualised Treatment Effects in Randomised Controlled Trials – an Illustration with the International Stroke Trial', Journal of Clinical Epidemiology, bind 125, s. 47-56. https://doi.org/10.1016/j.jclinepi.2020.05.022

APA

Nguyen, T-L., Collins, G. S., Landais, P., & Le Manach, Y. (2020). Counterfactual Clinical Prediction Models Could help to Infer Individualised Treatment Effects in Randomised Controlled Trials – an Illustration with the International Stroke Trial. Journal of Clinical Epidemiology, 125, 47-56. https://doi.org/10.1016/j.jclinepi.2020.05.022

Vancouver

Nguyen T-L, Collins GS, Landais P, Le Manach Y. Counterfactual Clinical Prediction Models Could help to Infer Individualised Treatment Effects in Randomised Controlled Trials – an Illustration with the International Stroke Trial. Journal of Clinical Epidemiology. 2020;125:47-56. https://doi.org/10.1016/j.jclinepi.2020.05.022

Author

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

Bibtex

@article{eba5f7035c004441ac519993507c0301,
title = "Counterfactual Clinical Prediction Models Could help to Infer Individualised Treatment Effects in Randomised Controlled Trials – an Illustration with the International Stroke Trial",
author = "Tri-Long Nguyen and Collins, {Gary S.} and Paul Landais and {Le Manach}, Yannick",
year = "2020",
doi = "10.1016/j.jclinepi.2020.05.022",
language = "English",
volume = "125",
pages = "47--56",
journal = "Journal of Clinical Epidemiology",
issn = "0895-4356",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Counterfactual Clinical Prediction Models Could help to Infer Individualised Treatment Effects in Randomised Controlled Trials – an Illustration with the International Stroke Trial

AU - Nguyen, Tri-Long

AU - Collins, Gary S.

AU - Landais, Paul

AU - Le Manach, Yannick

PY - 2020

Y1 - 2020

U2 - 10.1016/j.jclinepi.2020.05.022

DO - 10.1016/j.jclinepi.2020.05.022

M3 - Journal article

C2 - 32464321

VL - 125

SP - 47

EP - 56

JO - Journal of Clinical Epidemiology

JF - Journal of Clinical Epidemiology

SN - 0895-4356

ER -

ID: 241828196