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Binary logistic regression modeling also showed that the experience and subspecialty/special interests of the consultants had a significant impact on their choice of performing or not performing myomectomy (Table 2).
The primary climatic factors, such as, temperature and rainfall, have been used in prediction of malaria risk by Ye et al [21] through a binary logistic regression modeling with fractional polynomial transformations.
Multivariate analysis was performed using binary logistic regression modeling to calculate odds ratios (ORs) with 95% confidence intervals (CIs).
Binary logistic regression modeling with silicosis (1 = present, 0 = absent) as a dichotomous outcome was used to estimate associations with the explanatory variables.
In addition, to compare CHPs with other physicians with respect to EHR adoption, we utilized binary logistic regression modeling techniques to compute adjusted odds ratios.
Similar results were obtained when we conducted the adjusted analysis using the binary logistic regression modeling to determine whether differences in cases and controls remain after adjustment for socio-demographic and clinical characteristics (Additional file 2). a Mann-Whithney test.
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Binary logistic regression modelling incorporating transrectal biopsy parameters showed no statistically significant predictive variable.
Binary logistic regression modeled risk of falling as function of number of chronic conditions.
It is an observational study involving secondary analysis of maternity records, using binary logistic regression modelling.
We examined the effect of the individual level variables, and the kebeles using a two-level binary logistic regression modelling.
Binary logistic regression model was used for analysing data.
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