Sentence examples for logistical regression model from inspiring English sources
All factors were included in a multivariate logistical regression model; statistically significant findings are shown in Table 2. *Multivariate logistic regression analysis for 830 respondents, sample weighted to the age and sex distribution of the population of Australia (9 ).
Multivariate analysis was performed with a logistical regression model.
As the year of ICU admission was different between the 2 groups, this variable was forced in the logistical regression model.
A logistical regression model was used to determine the susceptibility of landslide occurrence on an asset by asset basis using input factors derived specifically for man-made earthworks.
The year of ICU admission was forced in the model bNon-collinear variables included in the logistical regression model were age, PaO2-to-FiO2 ratio at ICU admission, use of noninvasive ventilation as a first-line therapy, type of immunosuppression, use of vasopressors in the 24 h after ICU admission, cause of respiratory failure and PaCO2 > 45 mmHg.
The multivariate analysis was driven with a logistical regression model beginning with the variables that exhibited p values <0.20 in the univariate analysis and subsequently excluded those that did not contribute to the distinction of RI based on the maximum likelihood-ratio test [16].
Drawing on the results of a representative survey of 2300 individuals, carried out in Chile's capital city, Santiago, at the behest of the country's Ministry of Justice, we apply multilevel logistical regression models.
Conditional logistical regression modeling was used for data analysis.
For the multiple logistical regression models, gender, age, mental health score and emotional role function were significant predictors of vitality in all four models.
Multivariate binary logistical regression models predicting disease severity were constructed using patient characteristics, adjusted NPA cytokine concentrations and adjusted NPA hRSV load (table 3).
Multivariate binary logistical regression models were constructed for two previously accepted definitions of severe disease "any need for supplemental oxygen including ventilation" and "any need for mechanical ventilation" [11], [22], [23].
