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We used a multiple logistic regression model to evaluate the relationship between support for landscape planning and a natural property rights values.
We used a multiple logistic regression model with factors that showed p<0.2 by univariate analysis.
We used a multiple logistic regression model as an analytical tool.
To examine which factors predicted post-disaster MHS, we used a multiple logistic regression strategy.
We then used a multiple logistic regression model to test the association between supermarket presence, deprivation tertile and time.
We used a multiple logistic regression model to estimate de Odds Ratio of dementia adjusting for age, sex and cardiovascular risk factors (hypertension, diabetes, heart disease).
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By using a multiple logistic regression model, clinical variables that may predict the outcome of electrodiagnostic testing for CTS included gender, duration of symptoms, nocturnal symptoms, sensory symptoms, wrist pain, neck pain, pinprick sensation, abductor pollicis brevis strength, and thenar bulk.
The inflation probabilities can be modelled using a multiple logistic.
Thirdly, the factors affecting the quality of Japanese PET studies were analyzed using a multiple logistic regression model.
The following variables were evaluated regarding their relationship with the requirement for a pacemaker using a multiple logistic regression model: ejection fraction, preoperative functional class, arrhythmia at hospitalization, time of perfusion, and the value of the EUROSCORE.
Multivariate analyses were performed using a multiple logistic regression.
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used a multilevel logistic
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used a binomial logistic
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used a binary logistic
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