218 Chapter 9 25. Weissglass, D. E. Contextual bias, the democratization of healthcare, and medical artificial intelligence in low- and middle-income countries. Bioethics 36, 201–209 (2022). 26. Hernán, M. A. The C-Word: Scientific Euphemisms Do Not Improve Causal Inference From Observational Data. American Journal of Public Health 108, 616–619 (2018). 27. Sessler, D. I. & Myles, P. S. Novel Clinical Trial Designs to Improve the Efficiency of Research. Anesthesiology 132, 69–81 (2020). 28. Hernán, M. A. & Robins, J. M. Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available. American Journal of Epidemiology 183, 758–764 (2016). 29. Crown, W. H. Real-World Evidence, Causal Inference, and Machine Learning. Value in Health 22, 587–592 (2019). 30. Docherty, A. B. et al. Features of 20133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study. BMJ (Clinical research ed.) 369, m1985 (2020). 31. The REMAP-CAP Investigators. Interleukin-6 Receptor Antagonists in Critically Ill Patients with Covid-19. New England Journal of Medicine 384, 1491–1502 (2021). 32. The WHO Rapid Evidence Appraisal for COVID-19 Therapies (REACT) Working Group et al. Association Between Administration of IL-6 Antagonists and Mortality Among Patients Hospitalized for COVID-19: A Meta-analysis. JAMA 326, 499 (2021). 33. The RECOVERY Collaborative Group. Tocilizumab in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial. Lancet (London, England) 397, 1637–1645 (2021). 34. Stichting Werkgroep Antibioticabeleid. Medicamenteuze Behandeling Voor Patiënten Met COVID-19 (Infectie Met SARSCoV-2). https://swab.nl/nl/covid-19#to_43 (2021). 35. Ledingham, J. M., MacPhie, E. & Bosworth, A. Covid-19: surging demand for some arthritis drugs. BMJ n2700 (2021) doi:10.1136/bmj.n2700. 36. Landelijk Coördinatiecentrum Geneesmiddelen. Tussentijdse Levering Sarilumab; Aangepast Behandeladvies IL6-Remmers. https://nvza.nl/wp-content/uploads/LCG-alert-211122_DEF.pdf (2021). 37. Landelijk Coördinatiecentrum Geneesmiddelen. Borgen Continuïteit Behandeling Met IL-6Remmers. https://nvza.nl/wp-content/uploads/IL-6-alert-LCG-alert-211112-def.pdf (2021). 38. Groeneveld, G. H., Paassen, J. van, Dissel, J. T. van & Arbous, M. S. Influenza Season and ARDS after Cardiac Surgery. New England Journal of Medicine 378, 772–773 (2018). 39. Klundert, N. van de, Holman, R., Dongelmans, D. A. & Keizer, N. F. de. Data Resource Profile: the Dutch National Intensive Care Evaluation (NICE) Registry of Admissions to Adult Intensive Care Units. International Journal of Epidemiology 44, 1850–1850h (2015). 40. Hernan, M. A. & Robins, J. M. Causal Inference: What If. (Boca Raton: Chapman & Hall/CRC., 2020). 41. Gvozdenović, E. et al. Causal inference concepts applied to three observational studies in the context of vaccine development: from theory to practice. BMC Medical Research Methodology 21, 35 (2021). 42. Igelström, E. et al. Causal inference and effect estimation using observational data. Journal of Epidemiology and Community Health 76, 960–966 (2022). 43. Widding-Havneraas, T. & Zachrisson, H. D. A Gentle Introduction to Instrumental Variables. Journal of Clinical Epidemiology 149, 203–205 (2022). 44. Raita, Y., Camargo, C. A., Liang, L. & Hasegawa, K. Big data, data science, and causal inference: A primer for clinicians. Frontiers in Medicine 8, 678047 (2021). 45. Rajkomar, A. et al. Scalable and accurate deep learning with electronic health records. npj Digital Medicine 1, 18 (2018). 46. Vermunt, J. K. & Magidson, J. Latent class analysis. The sage encyclopedia of social sciences research methods 2, 549–553 (2004). 47. Yoshihiko Raita, L. L., Carlos A. Camargo & Hasegawa, K. Leveraging ‘big data’ in respiratory medicine – data science, causal inference, and precision medicine. Expert Review of Respiratory Medicine 15, 717–721 (2021). 48. Brown, S. M. et al. Nonlinear Imputation of Pao2/Fio2 From Spo2/Fio2 Among Patients With Acute Respiratory Distress Syndrome. Chest 150, 307–313 (2016).
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