Modeling clinical trajectory status of critically ill COVID-19 patients over time: A method for analyzing discrete longitudinal and ordinal outcomes

Early in the COVID-19 pandemic, the World Health Organization stressed the importance of daily clinical assessments of infected patients, yet current approaches frequently consider cross-sectional timepoints, cumulative summary measures, or time-to-event analyses. Statistical methods are available t...

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Detalles Bibliográficos
Autores principales: Ward, Michael J., Douin, David J., Gong, Wu, Ginde, Adit A., Hough, Catherine L., Exline, Matthew C., Tenforde, Mark W., Stubblefield, William B., Steingrub, Jay S., Prekker, Matthew E., Khan, Akram, Files, D. Clark, Gibbs, Kevin W., Rice, Todd W., Casey, Jonathan D., Henning, Daniel J., Wilson, Jennifer G., Brown, Samuel M., Patel, Manish M., Self, Wesley H., Lindsell, Christopher J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Brief Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161049/
https://www.ncbi.nlm.nih.gov/pubmed/35720967
http://dx.doi.org/10.1017/cts.2022.393

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161049/
https://www.ncbi.nlm.nih.gov/pubmed/35720967
http://dx.doi.org/10.1017/cts.2022.393

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