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P-value of less than 0.2 and clinical importance were used to identify candidates for multivariable analysis.
Study participants were recruited between 2002 and 2008 from community-based venues in San Francisco, California, and followed over time; marginal structural models and targeted variable importance were used to rank factors by their influence.
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A likert scale ranging from 1 (indicating not important) to 4 (indicating major importance) was used to ascertain which job risk factor was important in the occurrence of WRMDs.
Both discrete choice analysis and Likert-scale rating were employed to reveal the importance and the hierarchical order of importance being used by the residents in their evaluation of six environmental attributes.
In this work, these measures of variable importance are used to map eQTL.
A five-point Likert scale ranging from "Agree not at all" to "Agree completely" and from "Very little importance" to "Very great importance" was used for most items.
In random Forest classification, the measures of gene importance are used to filter the original gene set iteratively, resulting in good performance in feature selection.
Importance was used as it was felt the term significance may be confused with the statistical significance of the study findings rather than the importance of the reported impacts.
Local importance instead of global importance was used in a regression RF analysis because the authors assumed that only a subset of miRNAs would significantly contribute to the regression fit.
Overall model accuracy, the Kappa statistic, and individual covariate importances were used to assess the influence of including the legacy soil survey.
Fifty importance questions were used to calculate the most important aspects in healthcare performance in the A&E according to patients.
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