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Using the parameter estimates for creating a propensity score, the following formula was reached for the propensity score: Propensity score = 4.8383+ dyslipidemia x (0.5314)+ thrombolytic use x (−1.0176)+ use of glycoprotein IIb/IIIa inhibitor drugs x (−1.3345)+ age x (−0.0306)+ weight x (0.0246)+ vessel diameter x (−1.1752).
Consequently, we implemented a propensity score matching method to reduce this bias 16 by first creating a propensity score to represent the relationship between multiple characteristics and the matching outcome: being in the prison group (treatments) or not (controls).
The link between maternal and offspring obesity can be explained by the 'early-life hyper nutrition' pathway where exposure to over-nutrition during fetal or early postnatal life may lead to perturbations of adipogenesis and/or appetite control mechanisms, creating a propensity to later obesity [ 8].
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The investigator concluded that yoga "creates a propensity for weight gain and fat deposition".
This poor-quality and often scarce food combined with uncontrolled inbreeding created a propensity for conformation faults in the Chincoteague before outside blood was added beginning in the early 20th century.
Based on the univariate analyses, a step-down logistic regression analysis was done to create a propensity score for receiving DES instead of BMS.
All available variables were used to create a propensity score to predict the likelihood of having an interval greater than six weeks.
We created a propensity score matched cohort, which had a balanced risk factor and covariate profile reducing the possibility of confounding.
We created a propensity score matched sample to minimize preexisting imbalances in selected covariates between PI and NNRTI users, thus reducing confounding.
An interesting implication that underlies the reduced BMR with long term combined yoga practice is whether it creates a propensity for weight gain and fat deposition.
In order to investigate whether or not any association of GP IIb/IIIa inhibitor use on clinical outcomes was related to procedural risk, we created a propensity score to assess the baseline risk of each patient who underwent PCI.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com