Causal inference using observational intensive care unit data: a scoping review and recommendations for future practice.

Autor: Smit JM; Department of Intensive Care, Erasmus University Medical Center, Rotterdam, The Netherlands. j.smit@erasmusmc.nl.; Pattern Recognition & Bioinformatics group, EEMCS, Delft University of Technology, Delft, The Netherlands. j.smit@erasmusmc.nl., Krijthe JH; Pattern Recognition & Bioinformatics group, EEMCS, Delft University of Technology, Delft, The Netherlands., Kant WMR; Data Science group, Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands., Labrecque JA; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands., Komorowski M; Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.; Intensive Care Unit, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK., Gommers DAMPJ; Department of Intensive Care, Erasmus University Medical Center, Rotterdam, The Netherlands., van Bommel J; Department of Intensive Care, Erasmus University Medical Center, Rotterdam, The Netherlands., Reinders MJT; Pattern Recognition & Bioinformatics group, EEMCS, Delft University of Technology, Delft, The Netherlands., van Genderen ME; Department of Intensive Care, Erasmus University Medical Center, Rotterdam, The Netherlands.

Publikováno v: NPJ digital medicine [NPJ Digit Med] 2023 Nov 27; Vol. 6 (1), pp. 221. Date of Electronic Publication: 2023 Nov 27.