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Counterfactual clinical prediction models could help to infer individualized treatment effects in randomized controlled trials-An illustration with the International Stroke Trial.

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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. [1] Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Windmill Road, Oxford, UK; NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK. [2] Laboratory of Biostatistics, Epidemiology, Clinical Research and Health Economics, EA2415, Montpellier University, Montpellier, France. [3] 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. [4]
DOI 10.1016/j.jclinepi.2020.05.022
PMID 32464321
发布时间 2025-05-30
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Journal of clinical epidemiology

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