Extended Data Fig. 8 | Risk of death according to biomarkers levels. Forest
plots comparing the risk of death among ill patients. Each effect estimate
represents an individual regression estimate with a Poisson family, log link, and
robust variance estimation; each model accounts for repeated measures within
one individual through the use of generalized estimating equations (GEE).
Measurements are divided into three time-periods: 0–11 days after symptom
onset, 12–19 days after symptom onset, and ≥20 days after symptom onset. If an
individual had more than one measurement of a biomarker during any
particular time period, we used the average of all values. Each model controls
for participant age and gender.