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Using a multilevel logistic model, we found that travel distance is the most important influence on rates of cycling for transfer trips between metro stations and home or workplace.
Using a multilevel logistic regression model, we evaluated patient and hospital characteristics, as well as geographic availability, in relation to discharge to either IRF or SNF.
Using a multilevel logistic regression model, 50% probability of significant toxicity for a 70kg person is estimated at 1300 mg carbamazepine and 2600mg oxcarbazepine.
Data were analyzed using a multilevel logistic regression model.
Then, those which were significantly associated with mortality were analysed using a multilevel logistic model.
The clustered design of the study was taken into account by using a multilevel logistic model.
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For individual-level analysis, we used a multilevel logistic random-effects model which allowed us to control for clustering effects at the PSU and district levels.
As in Experiment 2, we used a multilevel logistic regression model to determine the impact of the colocation of an ensemble track and an oil rig.
As we used a multilevel logistic regression model in this study, we explain the effect between levels using median odds ratio (MOR) (41, 42).
We used a multilevel logistic regression model with random intercept and random slope in order to test cross-level interactions and to control for confounding factors.
These authors used a multilevel logistic regression model to adjust for the difference in asthma severity at baseline and to account for any possible effect from clustering.
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