Sentence examples for binary logistic regression indicated from inspiring English sources

Binary logistic regression indicated that, across all habitats and the size range tested, the potential for predation increased slightly (1.02 ×) but significantly with 1 mm increases in total length.

Binary logistic regression indicated that the significant associations with subsequent negative moves were location at baseline, DUNDRUM-3 programme completion score, HCR-20 dynamic score and PANSS negative symptom scores.

Multivariate binary logistic regression indicated that IADL dependency, ADL dependency, malnutrition, poor social support, acute kidney injury and pressure ulcers at admission were all independently associated with in-hospital death (Table  3).

The chi-square test was used to compare categorical variables, and the binary logistic regression indicated the magnitude of the associations adjusted by potential cofounders (sex, age, maturation, NAFLD and HOMA-IR).

Binary logistic regression indicated that for positive moves the location at baseline, DUNDRUM-1 triage security along with the HCR-20-dynamic risk score and PANSS general symptoms scores were associated with subsequent positive moves.

The forward-stepwise method of binary logistic regression indicated that as pH (Wald = 11.753, df = 1), P = 0.001) increased, odds of isolation of V. cholerae also increased (B = 1.297, S.E = 0.378, Exp B) = 3.657).

The higher discriminatory weights of hyperactive symptoms compared to inattentive symptoms in a binary logistic regression indicate that only few and predominantly hyperactive symptoms were needed to discriminate between probands and controls.

Binary logistic regressions indicated distinct correlates of readiness to quit and quit attempts of cigarettes and marijuana.

Binary logistic regression tests indicated that Cbx4 is correlated with histological grading, tumor-node-metastasis stage, microvessel density, distant metastasis and hematogenous metastasis of HCC.

The results of multiple binary logistic regression models indicated that having a lower monthly income (AOR = 3.8, 95% CI = 1.5-9.7 1.5-9.7dependently associated wash food independently

Binary logistic regression analysis indicated a significant association between high IgM values and the absence of CLA lesions (P < 0.05; OR = 0.000).