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From the multivariate logistic regression model for characteristics associated with TB infection shown in Table 1, black race and HIV infection were each independently and positively associated with TB infection (P <.05).
ICT use for information seeking was reported and with demographic specific differences noted from the multivariate logistic regression model; nurses compared to medical doctors and older workers were less likely to use ICT for health information searching.
a) crude models b) multivariate model adjusted for all other variables * missing values for 2 patients for which classification into the urban or rural group was not possible Odds ratios from the multivariate logistic regression model predicting at least one ChEI prescription are very similar to those of the univariate analyses, with a few exceptions.
To visually show the relationship between mortality and the maximum age of red blood, we also provided a plot of the predicted risk of death (as derived from the multivariate logistic regression model) against the maximum age of RBCs, and a locally weighted nonparametric smoother (LOWESS) was fitted to the data.
The odds ratios for risk of developing breast cancer from the multivariate logistic regression model including age, BMI and percent dense area were 1.33 (95% CI: 0.86 to 2.04, P =0.20) per 10-year change in age at entry to IBIS-I, 1.05 (95% CI: 0.99 to 1.11, P =0.07) per one unit of BMI (kg/m), and 1.16 (95% CI: 1.06 to 1.27, P =0.001) per 10% change in percent dense area.
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Marital status remained an independent predictor of success in the multivariate logistic regression model after adjusting for covariates.
High preoperative LES pressure remained an independent predictor of excellent response in the multivariate logistic regression model.
Multivariate model: variables were adjusted for each other in the multivariate logistic regression model.
Table 4 presents the results from the multivariate logistic regression models.
Table 4 shows the results from the multivariate logistic regression models.
The results from the bivariate and the multivariate logistic regression models are shown in Table 3.
More suggestions(14)
from the conditional logistic regression model
from the second logistic regression model
from the ordinary logistic regression model
from the multivariate logistic regression analysis
from the multiple logistic regression model
from the final logistic regression model
from the hierarchical logistic regression model
from the multinomial logistic regression model
from the multivariable logistic regression model
from the standard logistic regression model
from the multilevel logistic regression model
from the single logistic regression model
from the multivariate logistic regression Table
from the first logistic regression model
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