In this article, we provide a random utility-based derivation of the Dirichlet-multinomial regression and propose it as a convenient alternative for dealing with overdispersed multinomial data. We ...

We have various models available for this purpose such as logistic regression, random forest, decision trees, etc, but all these models come with a trade-off between predictive performance and ...

This project applies various econometric models and causal inference techniques using Stata to analyze key business and behavioral metrics. The objectives include assessing content engagement at ...

Abstract: Regression modeling has been frequently used in numerous qualitative and quantitative economic analyses. During such type of analyses it is investigated how one or more independent variables ...

Objectives: This study evaluated the immunomodulatory effects and clinical efficacy of Chinese herbal injections (CHIs) combined with transcatheter arterial chemoembolization (TACE) in hepatocellular ...