Sentence examples for binary logit regression which from inspiring English sources
To accurately assess era differences, a reasonable approach lay in binary logit regression, which calculated OR; this was so in part because only 174 (0.8%) of the 20,879 patients were lost to follow-up at 1 year.
These include a binary logit regression to identify zero outcomes associated with count data and NBR to model the count process.
Overall, the binary logit regression model explained about 70.6% of the variance of local people's knowledge on the adverse impacts of Eucalyptus woodlot (Table 5).
On the other hand, the binary logit regression model explained about 70.6% of the variance of local people's knowledge on the adverse impacts of Eucalyptus woodlot.
Binary logit regression model was used to analyze factors affecting local people's knowledge on the adverse impacts of Eucalyptus woodlot.
However, the binary logit regression model revealed that level of education and place of Eucalyptus plantation negatively correlated with local people's knowledge on the adverse impacts of Eucalyptus woodlot in Gudo Beret Kebele (Table 5).
Because near-complete follow-up characterizes modern databases, binary logit regression is an attractive alternative to Cox regression when PHs violations are deemed important.
Binary logit regression was used to fit the data of codon usage bias (SCUO values as independent variables) of orthologous genes with the presence or absence of intron sequences in the genes (as dependent variables) among the three mosquito species.
Because era, age, tumor size, surgery, and radiotherapy all showed PHs assumption violations with P < 0.0001 by Therneau Grambsch tests, binary logit regressions were applied to calculate odds ratios (OR) at 6 and 12 months after diagnosis.
