Abstract: The probit regression model is a model used to analyze the relationship between categorical response variables, with predictive variables that are numerical, categorical, or the combination ...

The Annals of Applied Statistics, Vol. 15, No. 1 (March 2021), pp. 230-251 (22 pages) Inferring concerted changes among biological traits along an evolutionary history remains an important yet ...

Objectives As societal debates around assisted suicide persist, understanding the factors influencing individual attitudes is essential. Health literacy (HL) and end-of-life HL (EOL-HL) are critical ...

ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...

I am trying to implement the calculation for simple slopes estimation for probit models in lavaan as it is currently not support in semTools. Note that I cross-posted this on rvlenth emmeans package ...

Two shows — an art fair in Brooklyn and an Yves Klein exhibition uptown — ask if nude art can still inspire or shock. I joined in to find out. By Rachel Sherman Before last week, I had never ...

Scholars of international relations increasingly use temporal dependence variables (polynomials or splines) to control for unmodeled duration dependence in nonlinear models (such as logit or probit) ...