A study analyzed the geographic and institutional disparities in clinical trial distribution for candidates targeting the ...

This short course focuses on understanding the principles of logistic regression using the notions of odds, odds ratios and transformations. It includes discussion of how good the given model is, and ...

One traditional model (including only the traditional risk factors in model 2) and two new models (including the risk factors in model 2 and either the Phe/Tyr continuous variable or the Phe/Tyr ...

This short course will give you an overview of a variety of regression types and models using the R software, via libraries including lm, glm, and gamlss. You'll learn about ways of performing model ...

This project analyzes influencer marketing and promotional budgets' impact on sales using ML and statistical modeling in Python. It includes EDA, data cleaning, and simple and multiple linear ...

For the combined indicators, a multivariable logistic regression model was constructed using glm. Data analyses were performed using SPSS version 23.0, and the results were visualized using GraphPad ...