Sentence examples for predictor data were from inspiring English sources

Predictor data were stratified as indicated in Table 1.

For 50% of these patients predictor data were abstracted from the EMR within 12 h of onset of acute pulmonary edema (93% within 48 h).

It was not possible to include these patients in the analysis, even using statistical imputation methods to account for missing data, as insufficient predictor data were recorded.

Strengths of our study include the enrollment of consecutive patients using a prospective study design: 95% of patients identified by electronic surveillance were evaluated for eligibility and predictor data were collected early after the onset of acute pulmonary edema, thus, minimizing the risk of selection and measurement bias, respectively.

After trialling activations functions based on sine, hard limit, logarithmic and tangent sigmoid and triangular and radial basis networks for best results, an optimal ELM architecture utilising logarithmic sigmoid equation in hidden layer, with lagged combinations of θs as the predictor data was developed.

Weaning predictor data are presented with the descriptive statistics in Table 2.

In this paper, we have described four extensions to decision curve analysis: correction for overfit, confidence intervals, application to time-to-event data and application to data sets where outcome or predictor data are unknown.

Among the 39 candidate predictors, data were complete in 32, missing in <1% for six variables, and missing in 6% for participant's birth weight.

To investigate whether the model was unstable due to multicollinearity between two or more predictor variables, the data were bootstrapped 1000 times to obtain parameter coefficients of each of the individual predictor variables [41].

Secondly, predictor and outcome data were aggregated to existing administrative health areas.

Predictor and outcome data were aggregated for analysis using two methods.