This article will focus on the recent cutting-edge research literature on advanced DID (Difference-in-Differences), machine learning, and Regression Discontinuity (RD), providing researchers with a ...

Have you ever found yourself staring at a spreadsheet, trying to make sense of all those numbers? Many face the challenge of transforming raw data into actionable insights, especially when it comes to ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

Simply collecting data is not enough. You can fill spreadsheets with data, but it's useless if you can't act on it. Regression is one of the most powerful statistical tools for finding relationships ...

In this paper, we propose a new approach for modeling repeated measures restricted to the interval (0, 1) (or (a, b), with a < b known real numbers). More specifically, we developed Generalized ...

Objective: Choosing an appropriate method for regression analyses of cost data is problematic because it must focus on population means while taking into account the typically skewed distribution of ...

In 2025, the field of quantitative research continues to thrive, with new research findings emerging constantly. This article will focus on the recent advanced DID (Difference-in-Differences), machine ...