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Disease spread was fitted with the data by using a logistic regression to obtain three variables describing the dynamics of disease dynamics: lag time before disease onset (early stage), the exponential rate of disease spread (intermediate stage) and the asymptotic disease saturation (late stage).
The approach of incorporating both triggering and environmental factors to create a more accurate forecast and assessment tool was attempted in this study by using a logistic regression model.
VAP was defined as pneumonia occurring after a MV period of at least 48 hours during the ICU stay.Independent relationships between VAP incidence and the specific SUP approach was assessed by using a logistic regression analysis.
As mentioned in Section 1, we study labour market transitions by defining a hierarchy of nested comparisons between two subsets of responses by using a logistic additive model for each comparison (see the motivations in Section 1).
Although previous studies [6, 10] and reviews [2, 3] suggest that a CK level of either >5,000 U/L or 10,000 U/L is associated with a higher rate of renal failure, we demonstrate by using a logistic regression model and ORs that a CK level of more than 1,000 U/L is associated with almost a threefold increased odds for developing AKI in the ICU compared with the group with normal CK values.
Sensitivities and specificities of diagnostic tests were compared by using a logistic regression model with robust standard errors to account for the correlation between observations.
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During study, trends were analyzed by year using a logistic regression model.
As for detailed analysis, lane blockage probability is interpreted by using a binary logistic regression model.
Odds ratio and 95% confidence intervals were calculated, by using a multivariate logistic regression analysis.
We assessed the relationship between anaerobic antimicrobial therapy and outcome by using a conditional logistic regression on the matched cohort.A total of 1390 infants exposed to anaerobic antimicrobial therapy were matched with 1390 infants not exposed.
The clustered design of the study was taken into account by using a multilevel logistic model.
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