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Probit models and logistic regression models both belong to the generalized regression model family.
The main difficulty is the limitation of the classical linear models and logistic regression with multiple variables to handle the multifactorial effect.
Linear mixed-effects models and logistic regression examined whether MBQS scores at 6 months predicted BMI at 48 months, controlling for other covariates.
The author demonstrated that both the mixture-of experts and radial basis function neural network mixture-of expertsor to other models, and logistic radialsion was the most accurate of the traditional methods.
The DMNB model performs classification in one shot via a combination of mixed-membership models and logistic regression, where the results may depend on different choices of C. The learned parameters will clearly have good performances on the specific stimuli but not necessarily on the new testing set.
Kaplan-Meier estimates, competing-risks Cox regression, generalised estimating equation population-averaged models and logistic regression were used to compare death, loss to follow-up (LTFU) and virological suppression (VS) between PHC, district and regional hospitals.
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One of them uses the combination of Hierarchical Analytical Process (AHP) model and Logistic Regression models (LR) model.
The exponential function can be found in the classical Malthus model and logistic model, and thus the Mittag-Leffler function is more generalized to describe a real-world growing population.
In this paper, we prove that under simple power model and logistic model, the way CRM selects the next dose level is highly efficient from the perspective of optimal design.
Longitudinal observations from the Collaborative Initial Glaucoma Treatment Study CIGTSS) were used to parameterize and validate a Kalman filter model and logistic regression function.
Areas under the ROC curves were 0.83 and 0.75 for the Bayesian model and logistic regression, respectively.
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