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Table 3 Logistic regression model predicting likelihood of the stability of the orthodontic treatment B S.E.
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Suppose you tried to construct a simple statistical model predicting the likelihood of a debt default.
Only EBCB (Wald = 9.421, p < .01) made a significant contribution to the model predicting the likelihood of EBF for 24 weeks.
Results from the multivariable logistic regression model predicting the likelihood of seeking care from more than one source are presented in Table 3.
We fit a model predicting the likelihood of ET and incorporated this score as a covariate in the Cox regression model using duration of weaning as the dependent variable.
The results from the random-effects logit model predicting the likelihood of post-partum contraceptive use show that it was significantly lower in Coast than in Nyanza (p<0.05) or Nairobi provinces (Table 2; p<0.01).
Older age, mental confusion, neck stiffness, and higher CSF polymorphonuclear cell count were identified as the most accurate logistic model predicting the likelihood of bacterial meningitis on our patients.
The results from the random-effects logit model predicting the likelihood of experiencing an unintended pregnancy are presented in Table 2. Pregnancies were significantly less likely to be unintended if the husband rather than the boyfriend/fiancé or other persons (friend/acquaintance/stranger) was responsible (p<0.01).
The regression model significantly predicts likelihood of SRE expression (χ = 274.52, df = 6, p < 0.005).
This illustrates the potential of the PBPK model to predict likelihood and magnitude of changes in sirolimus exposure when combined with a CYP3A4 inhibitor.
Similarly, we ran 3 separate multinomial regression models to predict likelihood of housing stability.
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