Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

In addition, the Generalized Additive Mixed Model (GAMM) was utilized to investigate the relationship between dynamic PLT counts during the first week and 28-day mortality, examining differences in ...

Generalized additive models (GAMs) can model the nonlinear relationship between a response variable and a set of explanatory variables through smooth functions. GAM is used to assess the direct, ...

This study evaluated applying generalized additive models (GAMs) to predict soil pH in Mississippi using data collected from an on-the-go soil sensor. pH was the dependent variable, and apparent ...

Article citations More>> Wood, S.N. (2017) Generalized Additive Models: An Introduction with R. Chapman and Hall. has been cited by the following article: TITLE: Classifying Cognitive Decline in Older ...

Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the flexibility of generalized additive model, and are important models ...

In this study, we systematically evaluated six parametric models (exponential, exponential quadratic, monomolecular, logistic, Gompertz, and von Bertalanffy) and the semiparametric generalized ...

Home Events Events Course Starts: Generalized Linear, Additive, & Mixed Models Posted by sandra on December 12, 2023 Share Tweet Post Email View Calendar ...

solving nonlinear scoring problems where linear regression doesn't fit well using techniques like Generalized Additive Models (GAM) and Support Vector Regression (SVR). Computationally efficient ...