Statistical Models for Patient-Centered Outcomes in Clinical Studies
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-65723-8_8
Reference10 articles.
1. Boyle, L., Lumley, T., Cumin, D., et al.: Using days alive and out of hospital to measure surgical outcomes in New Zealand: a cross-sectional study. BMJ Open 13(7), e063787 (2023). https://doi.org/10.1136/bmjopen-2022-063787
2. Delaney, A., Tian, D.H., Higgins, A., et al.: The association between days alive and out of hospital and health-related quality of life in patients with sepsis. CHEST Critical Care 1(3) (2023). https://doi.org/10.1016/j.chstcc.2023.100024
3. Hastie, T., Tibshirani, R., Friedman, J.H.: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd edn. Springer, New York (2009)
4. Moonesinghe, S.R., Jackson, A.I.R. et al.: Systematic review and consensus definitions for the Standardised endpoints in perioperative medicine initiative: patient-centred outcomes. Br. J. Anaesthesia 123(5), 664–670 (2019). https://doi.org/10.1016/j.bja.2019.07.020
5. M’Pembele, R., Roth, S., Stroda, A. et al.: Validation of days alive and out of hospital as a new patient-centered outcome to quantify life impact after heart transplantation. Sci. Rep. 12, 18352 (2022). https://doi.org/10.1038/s41598-022-21936-4
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