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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.
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.
Areas under the ROC curves were 0.83 and 0.75 for the Bayesian model and logistic regression, respectively.
Cox's proportional hazard model and logistic regression were used to examine likely prognostic factors in each group.
Longitudinal observations from the Collaborative Initial Glaucoma Treatment Study CIGTSS) were used to parameterize and validate a Kalman filter model and logistic regression function.
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Six common mathematical mortality models (Exponential model, Weibull model, Gompertz model, Gompertz-Makeham model, Logistic model and Logistic-Makeham model) have been fitted to each cohort where possible and can be plotted alone or together with the data.
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.
Probit models and logistic regression models both belong to the generalized regression model family.
Design: A cross-sectional study was implemented in 2012 and data were analyzed using generalized additive models, linear regression models and logistic regression models.
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