Sentence examples for derived the propensity from inspiring English sources

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24 We derived the propensity scores from two separate logistic regression models, including all courses with the respective study drug and penicillin V and with all potential confounders listed in table 1 included as predictors.

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The final sample we derive the propensity scores from consists of 1588 young persons (777 women and 811 men) with vocational credentials, of whom 344 (152 women and 192 men) have experienced unemployment in early career.

We provide semiparametric efficiency bounds for both the "verify-out-of-sample" case, where the two samples are independent, and the "verify-in-sample" case, where the auxiliary sample is a subset of the primary sample; and the bounds are derived when the propensity score is unknown, or known, or belongs to a correctly specified parametric family.

The additive effect of wtSOD1 aggregates on the mouse phenotype supports a hypothesis that wtSOD1 per se also has an endogenous ALS-associated toxicity; this endogenous toxicity is enhanced by mutations; this endogenous toxicity is likely derived from the propensity to SOD1 aggregation.

Additionally, a new-user design is also implemented where prevalent statin users are excluded and weights derived from the propensity of being a new-user of statins at exam 2. Multiple imputation techniques are used for the Cox models that use weights based on the imputed cholesterol.

We derived the probability of receiving albumin (propensity score) with logistic regression using variables associated with its use, and then we matched individuals with a similar risk profile (propensity score ±0.05) who either received albumin or did not.

(10) ΔY (t ) = Y (t + ΔT ) − Y (t ) ∼ N μ = (β (t ) − δ (t ) ) ΔT σ = (β (t ) + δ (t ) ) ΔT This result motivates the use of stochastic differential equations to model the system dynamics: β(t) and δ(t) are derived from the propensities of Y in a straightforward manner.

During the course of this manuscript we discuss tests for determining the quality of the derived propensity score, various techniques for utilizing propensity scores, and also the potential limitations of this technique.

Patient characteristics are used to derive the predicted probability - or propensity - of a patient receiving an intervention, regardless of whether they received the intervention or not.

To address any indication bias, we derived a propensity score predicting the likelihood to receive albumin and matched 141 cases to 141 controls with a similar risk profile.

To adjust for behavioral confounding of the rectal STI-HIV association, while accounting for a limited number of incident HIV infections, we used an inverse probability of treatment weighted (IPTW) Cox proportional hazards (PH) model for incident HIV, where the weights were derived from propensity score modeling of STI incidence (i.e. a marginal structural model) [ 19].

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