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Table 3 represents the results from the binary logistic regression model built to adjust for all the variables.
Within the PPMHP framework, we compared and integrated the findings from the qualitative meta-synthesis with the quantitative results (findings from the binary logistic regression model).
15 However, since only 6.2% of patients received vitamin D supplementation lasting a mean duration of 2.7 ± 1.5 months, we did not exclude them from the binary logistic regression model.
A test for trend using the p value of the effect of year from the binary logistic regression model of the detection method (mammography detected yes/no) on year was significant, p <.001.
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First, the binary logistic regression model was used to select risk factors significant to hypertension.
The binary logistic regression model predicted that 13%% of State Trust Lands, 8%% of private lands, and 3%% of federal lands within Union County would change from herbaceous to shrubland.
b P-values for trend were derived from binary logistic regression model analysis.
And adequacy of the applied binary logistic regression model is not mentioned.
However, adequacy of the applied binary logistic regression model is not mentioned.
The use of a binary logistic regression model revealed two SNPs that are predictive of AIEC phenotype (Table 5).
Table 5 Binary logistic regression model for the SNPs associated with the AIEC pathotype.
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