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We also present results with a traditional logistic regression models without propensity score matching for comparison.
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A model without propensity quintiles (Model 2) was also included to assess the effect of core model components, age and seven ODs, on mortality.
The stochastic focusing model without propensity adjustment yields results quite different from those of the deterministic model, as is illustrated in Figure 7.
Analysis with traditional logistic regression models (n = 600) without propensity score matching showed similar results.
In both models, the propensity score matched and traditional logistic regression without propensity score matching, we performed a crude analysis as well as an adjusted analysis controlling for the potential confounders that were associated with sepsis (p < 0.10): prematurity, maternal colonization status, and wealth status.
In other words, a stochastic model for the Repressilator system can be generated by using the scheme in (32) without propensity adjustment.
Reportedly, these cells can be expanded in vitro under prolonged mitogen stimulation without propensity to transform.
We repeated the analysis without propensity score matching and instead used standard multivariate regression methods.
All multivariate analyses were undertaken both with and without propensity adjustment.
Patients with CVERP were matched with the pool of patients without CVERP using the model-generated propensity score.
We present our models without removing outliers.
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