Sentence examples for binary regression analysis showed from inspiring English sources
The DN patients had significantly reduced MtDNA compared to DC. Binary regression analysis showed that eGFR, A/C ratio, and MtDNA levels were independently associated with DN.
The binary regression analysis showed that educational status is a predictor of obesity among women, while income was found to be a predictor of obesity among all respondents.
However, the binary regression analysis showed that educational status has a significant direct effect on obesity only in the female group.
After adjusting for these variables, stepwise binary regression analysis showed that eGFR, systolic blood pressure and MtDNA levels remained independently associated with DN (P = 0.009) however, age, BMI, and cholesterol were no longer associated with DN.
The results of a binary logistic regression analysis showed that two factors influencing the decision for the retention protocol in use were associated with the work experience in orthodontics.
Multivariable binary logistic regression analysis showed a positive relation between the occurrence of a recurrent dislocation after surgery (dependent variable) and the duration of the post-operative period in years.
After adjustment for conventional risk factors, binary logistic regression analysis showed that the G allele carriers (GG + AG) had significantly increased CAD risk compared with the AA homozygotes (adjusted P < 0.001; OR 0.43; 95% CI, 0.33 0.58).
Univariate binary logistic regression analysis showed that several characteristics were strongly associated with death after trauma (Table 5).
Binary logistic regression analysis showed no difference in the timing of initiation of breast feeding by gender of the infants.
Binary logistic regression analysis showed similar results to earlier studies from Vietnam and the United States [ 22, 23].
Multivariate binary logistic regression analysis showed the same schools to be significantly high and no others became high (based on analysis of odds ratios, not shown).
