Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal
<p><strong>Objective:</strong> To review and critically appraise published and preprint reports of prediction models for diagnosing coronavirus disease 2019 (covid-19) in patients with suspected infection, for prognosis of patients with covid-19, and for detecting people in the gen...
Autori principali: | Wynants, L, Van Calster, B, Bonten, MMJ, Collins, GS, Debray, TBA, De Vos, M, C Haller, M, Heinze, G, Moons, KGM, Riley, RD, Schuit, E, Smits, LJM, Snell, KIE, Steyerberg, EW, Wallisch, C, van Smeden, M |
---|---|
Natura: | Journal article |
Lingua: | English |
Pubblicazione: |
BMJ
2020
|
Documenti analoghi
Documenti analoghi
-
Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist
di: Debray, TPA, et al.
Pubblicazione: (2023) -
Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration
di: Debray, TPA, et al.
Pubblicazione: (2023) -
Methodology over metrics: current scientific standards are a disservice to patients and society
di: Van Calster, B, et al.
Pubblicazione: (2021) -
Minimum sample size for external validation of a clinical prediction model with a binary outcome
di: Riley, RD, et al.
Pubblicazione: (2021) -
Calculating the sample size required for developing a clinical prediction model
di: Riley, RD, et al.
Pubblicazione: (2020)