Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

Objectives: To describe adoption and use of voluntary alignment throughout the Next Generation Accountable Care Organization (NGACO) model from 2016 through ... and NGACO fixed effects using multiple ...

A new study finds that “higher pesticide exposure was significantly associated with elevated blood pressure and greater risks ...

Methods: We evaluated patient activation as an ordinal outcome using an ordered logistic regression model, a dichotomous outcome using a linear probability model ... more from longer exposure to the ...

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The posterior distribution of parameters is obtained by sampling, which effectively balances the complexity of the model and ...

Logistic regression is a ... to be linearized and analyzed using linear regression techniques. Similarly, it also allows non-linear relationships to be modeled using regression. Importantly, a logit ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

GLIM was the first statistical software program ... A log-linear model was fitted to predict the number of heroin abusers in Malta given the number of addiction relapses. A logistic regression ...

Logistic regression, therefore, makes a prediction about two possible scenarios: For example ... Unlike standard linear regression models, logistic regression does not require a linear ...

In data science, understanding the differences between linear and logistic regression is crucial for selecting the right model for your data. Linear regression is used to predict continuous ...

Understanding the core differences between linear ... a line, logistic regression fits an "S" shaped logistic function, which predicts the probability of the outcome occurring. This model is ...