Publications by authors named "Eustasio Del Barrio"
Article Synopsis
- The study focuses on COVID-19 patient outcomes during the first wave in Castilla y León, Spain, applying multi-state competing risk survival models to analyze patient dynamics.
- Key demographic and clinical factors are evaluated as predictors for recovery and mortality, revealing that older age, male gender, and chronic diseases significantly increase risk, with notable differences in hospitalization and death rates based on age and sex.
- The model provides insights into transition probabilities for patients, showing that infection timing and prior vaccinations impact recovery chances significantly.
Background: Data obtained from flow cytometry present pronounced variability due to biological and technical reasons. Biological variability is a well-known phenomenon produced by measurements on different individuals, with different characteristics such as illness, age, sex, etc. The use of different settings for measurement, the variation of the conditions during experiments and the different types of flow cytometers are some of the technical causes of variability.
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