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Multiplicative interaction was assessed through a cross-product interaction term in a multiple logistic regression model.
Hosmer DW, Lemeshow S. A goodness of fit test for the multiple logistic regression model.
A multiple logistic regression model was developed in group A for DIC diagnosis.
In a stepwise multiple logistic regression model adjusted for age, physical activity and smoking status, the FNRS was directly related to overweight or obesity (P for trend = 0.009).
In the multiple logistic regression model predicting "all levels safe" at follow-up (Table 4), study group was not significant.
Thirdly, the factors affecting the quality of Japanese PET studies were analyzed using a multiple logistic regression model.
This framework was used to then guide the inclusion of the influential variables in the multiple logistic regression model.
A multiple logistic regression model was used to investigate the individual effect of these genes on IGR and T2DM.
A multiple logistic regression model was then constructed to determine potential predictors of the uptake of A (H1N1) influenza vaccine.
To identify independently associated factors, multiple logistic regression model was produced by taking presence of TB as outcome variable.
*Adjusted for all factors in multiple logistic regression model.
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