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In addition, results from the Stratified Cox models and logit models give consistent results with the Cox model.
The paper shows a robust and statistically significant positive correlation between gross locational capital flows over GDP and the onset of financial crisis, using linear probability models and logit regressions, providing evidence for the hypotheses.
The statistical theory of log-linear models and logit analysis for the evaluation of multi-way contingency tables was used [ 25], including the theory of graphical models [ 26].
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Data will be analysed using multinomial logit models and mixed logit models (Nlogit, Econometric Software).
Tukey's range tests as well as generalized mixed ordinal logit models, linear models, and binary logit models were used.
Regardless of how they work, performance metrics show that the best models (SVM and Logit) detect VE recruitment with considerable accuracy (mean A U C>0.85).
Three alternative logistic regression models, namely multinomial logit model, sequential binary logit model, and ordered logit model applied in a multilevel framework, were compared and evaluated for their performance for predicting the conditional probabilities of different severity levels of a given collision.
The results found using fixed-effects models and pooled logit models were consistent across some dimensions while conflicting across others.
The results found when using prescription medication as the dependent variables paint a very similar picture as our main results, both when using fixed-effects models and pooled logit models in the estimations (see Tables 7 and 8).
Some of the continuous variables are converted into categorical variable and the multinomial logit model and ordered logit models are developed and compared to estimate the model parameters.
Common modelling techniques used include random-effects logit or probit model and conditional logit models [ 53, 54], while there is an increasing use of more sophisticated tools such as mixed logit models [ 59].
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