Sentence examples for predictor proportion from inspiring English sources

Exact(1)

The second series of MLM examines a categorical outcome (whether a CSHCN went uninsured at any time in the previous 12 months) as a function of a level-1 predictor (family income) and a level-2 predictor (proportion of families in poverty).

Similar(59)

In sub-xerophilous and mesophilous grasslands, the best predictor was proportion of natural and semi-natural habitats followed by the proportion of non-natural habitats.

With K562 binding sites identifying the predictors, the proportion of expression explained by the models is statistically significant only for monocytic cells (p-value< 0.001), which are closely related to K562.

41 To explore heterogeneity between studies, we estimated the effect of study specific characteristics on outcome variables using meta-regression with the following predictors: age, proportion of women, and illness severity or organ failure score (either APACHE II or SOFA).

Older age at questionnaire completion was a significant predictor of the proportion of disagreement in the test-retest reliability study.

The percentage of the non-zero predictor quantifies the proportion of correct identification of this predictor over 1000 replicates in each method.

Another study in African countries including Kenya showed that favorable economic status was a significant predictor of the proportion of facility deliveries [ 7].

Multivariate logistic regression was used to estimate the effect of each predictor on the proportion of nonsmoking adults with undetectable cotinine after adjusting for other predictor variables, including long-term trends.

According to a second binomial logistic regression model, the timing of bolting was a strong predictor of the proportion of total fruit expressed during the SRE (χ32 = 2200.57, p < 0.005; Table  2).

Island was a significant predictor of the proportion of species in the seedbank with a conspecific adult present within 2 m (χ = 13.86, df = 2, P < 0.001, R m 2 = 0.29, R c 2 = 0.29 ).

For each method, we estimated the probability of selecting a true predictor as the proportion of cases where a true predictor was selected and the probability of not selecting a redundant variable as the proportion of cases where a redundant variable was not selected.

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