Sentence examples for by applying logistic regression from inspiring English sources

By applying logistic regression analysis to the data set, we identified and weighted the following four independent predictor variables that best discriminate drained lakes from undrained lakes: moraine height-to-width ratio, presence/absence of an ice-core in the moraine, lake area, and main rock type forming the moraine.

By applying logistic regression to the combination of IL-6 and leptin, it was possible to show that this combination was the most discriminatory, with an AUC value of 0.933, 95% CI 0.839 1.0, p < 0.00001, a specificity of 96.7%, and a sensitivity of 85.7% (Fig. 2d).

First, we defined an IBC/nIBC genomic classifier by applying logistic regression to the expression data of the 24 genes in the 173 samples (learning set).

By applying logistic regression models and after performing correction for multiple test, we identified 22 potential CTL-escape mutations (p-value<0.05; q-value<0.2); 10 of these associations were confirmed in samples biologically independent by a Bayesian Markov Chain Monte-Carlo method.

The patients were compared with the nonpatients by applying logistic regression.

The impact of the various factors was analyzed by applying logistic regression analysis.

By comparing the results of applying logistic regression as a baseline on the StockTwits dataset in Table 1 with the results of doc2vec in Table 5, we find that doc2vec cannot be an effective model to predict sentiment in the StockTwits dataset.

To account for correlation in each individual (repeated measures in each person), we applied logistic regression by using the generalized estimating equations with exchangeable correlation matrix to estimate the associations of duration of NRT use (any NRT, nicotine patch, and nicotine gum) with smoking cessation (32).

Adjusting for age by using natural cubic splines, we applied logistic regression models to test the association of each HRQOL measure with demographic characteristics listed in Table  1 and disease burden, stratified by gender.

Additional textual filters then proceed by applying a logistic regression classifier trained to recognize accounts belonging to organizations who are likely to announce civil unrest.

The main study hypothesis was examined by applying binary logistic regression analyses.