Examples of 'logistic regressions' in a sentence
Meaning of "logistic regressions"
logistic regressions: In statistics, logistic regression is a predictive analysis used to model the relationship between a dependent variable and one or more independent variables. It is commonly used to predict the probability of a binary outcome
How to use "logistic regressions" in a sentence
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logistic regressions
Hierarchical logistic regressions for alcohol use.
Simulations are done on generated data from logistic regressions.
Logistic regressions and decision trees.
Results were examined using logistic regressions.
Significant logistic regressions were obtained for each species.
The transitions probabilities are estimated using multinomial logistic regressions.
Logistic regressions were also carried out.
The modelling strategy for logistic regressions was described above.
Logistic regressions were not applied to each individual test series.
Univariate and multivariate logistic regressions were performed to identify risk factors.
Univariate and multiple analyses were also undertaken using logistic regressions.
Results of the logistic regressions in terms of odds ratio.
Relationships between physical variables and wetlands were established by means of logistic regressions.
Univariate logistic regressions were performed for each of these covariables.
Frequency distributions and crude and adjusted binary logistic regressions were used.
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Separate logistic regressions were run for these men and women.
Independent correlates of fmd and nmd were assessed by multiple linear and logistic regressions.
Details of logistic regressions.
Risk factors linked to the relationship were identified using various logistic regressions analyses.
Multivariate and univariate logistic regressions were performed to reveal predictors for respective complication types.
Table 4 shows the results of multiple logistic regressions.
The negative binomial and logistic regressions were performed with all covariates measured on baseline.
Regressions with discrete dependent variables, such as logistic regressions.
Both descriptive statistics and logistic regressions are used to explore the hypotheses in this paper.
Logistic regressions were carried out using a model similar to the one described in Regression models.
The multivariate analysis was performed by means of multiple logistic regressions using a hierarchical selection model.
Multinomial logistic regressions were used to test our hypotheses '.
The clinical-pathological characteristics were also analyzed by multiple logistic regressions.
If required, a model of multiple logistic regressions or a covariance analysis will be realized.
To begin to answer this question, we conducted a series of multiple logistic regressions.
Table 5 shows the results of logistic regressions including the variables with p.
Note, The probabilities are derived from average marginal effects, based on logistic regressions.
Multinomial logistic regressions were performed to identify correlates of the " active transportation " cluster.
Table 4 shows the results of the multiple logistic regressions using a hierarchical selection model.
Information from 187 confined adolescentes ¿ institutional files was analyzed with the use of logistic regressions.
Associations were tested using logistic regressions adjusted for individual-level characteristics.
The methods of analyzis were percent tables, correlations, logistic regressions and t-tests.
Note, The multinomial logistic regressions model compares denied and approved borrowers to discouraged borrower.
Figure 1 shows the three sequential logistic regressions HT, THT and CHT performed.
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Extant logistic principles and procedures apply
Development of multimodal transport and logistic services
Decrease of total logistic cost on selected corridors
Examples of using Regressions
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Regressions to the maternal uterus and things
The risk of spurious regressions was thereby eliminated
Regressions were computed separately for each outcome
