Your English writing platform
Discover LudwigExact(2)
Results of uncertainty analyses by applying polynomial chaos expansions to net work and CEA correlate well with those of the nonlinear analysis, hence demonstrating the potential of an uncertainty analysis in improving the prediction of brake squeal propensity using a linear method.
For instance, the Zyggregator method predicts aggregation propensity using a combination of physico-chemical properties including secondary structure, solvent accessibility, hydrophobicity and polarity (Tartaglia and Vendruscolo, 2008).
Similar(58)
Therefore, the first step in PSM is to predict the propensity score using a logit model.
Groups were then propensity matched using a 1 1 nearest neighbor algorithm, and outcomes were compared between groups.
Patients with one or more identified risk factor were thus matched with other patients according to the propensity score, using a 1 1 matching procedure.
We constructed propensity scores using a logistic regression model.
30 33 We will construct propensity scores using a logistic regression of the actual treatment received on the covariates described above.
33 34 We estimated the propensity score using a logistic regression model with exposure to a specialist team as the independent variable.
28 29 Pilot participants were matched to controls in a 1 1 fashion based on propensity scores using a calliper width of 0.25.
Adjustments for the risk of confounding bias in the three observational studies were done by propensity score using a multivariable logistic regression model.
All subjects in the control group were matched to subjects in the intervention group based on their propensity score, using a kernel matching algorithm [ 24].
Write better and faster with AI suggestions while staying true to your unique style.
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