Counterfactual clinical prediction models could help to infer individualized treatment effects in randomized controlled trials-An illustration with the International Stroke Trial.
第一作者:
Tri-Long,Nguyen
第一单位:
Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen K, Denmark; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Windmill Road, Oxford, UK; Laboratory of Biostatistics, Epidemiology, Clinical Research and Health Economics, EA2415, Montpellier University, Montpellier, France; Departments of Anesthesia & Health Research Methods, Evidence, and Impact, Michael DeGroote School of Medicine, Faculty of Health Sciences, McMaster University and the Perioperative Research Group, Population Health Research Institute, Hamilton, Canada; Department of Pharmacy, Nîmes University Hospital, University of Montpellier, Nîmes, France. Electronic address: long@sund.ku.dk.
作者:
医学主题词
老年人(Aged);老年人, 80以上(Aged, 80 and over);阿司匹林(Aspirin);女(雌)性(Female);肝素(Heparin);人类(Humans);Logistic模型(Logistic Models);男(雄)性(Male);模型, 理论(Models, Theoretical);多中心研究(主题)(Multicenter Studies as Topic);随机对照试验(主题)(Randomized Controlled Trials as Topic)
DOI
10.1016/j.jclinepi.2020.05.022
PMID
32464321
发布时间
2025-05-30
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