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Vaccination is not without its dangers, and we take a baseline probability of mortality following vaccination of δ V = 10 -5 [ 24], which we vary during analysis.
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We subdivided our cohort into quintiles based on propensity score so that comparisons could be made between patients with similar baseline probabilities of mortality.
The baseline probability of 0.01 was chosen to permit easy interpretation.
This algorithm required an initial proposal for the baseline probability of correct performance.
We assumed a baseline probability of 5%.
We therefore estimated the baseline probability of infection as 0.016.
First we calculated the baseline probability of obtaining swap errors by chance.
Figure 1 shows the relationship between baseline sodium level and the predicted probability of mortality.
We modified our baseline models (described above) to estimate the probability of mortality and healthcare associated infections under two alternative scenarios: (1) bottom quartile of LPN HPPD; and (2) top quartile of LPN HPPD.
Secondly, we constructed a multivariate model predicting the probability of mortality at 3 months by performing a stepwise logistic regression using baseline risk factors at the time of ICU admission.
In contrast, the probability of mortality showed a significant negative relationship with deviations of weight.
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