Objective Socioeconomic inequalities significantly impact access to healthcare services for individuals with type 2 diabetes mellitus (T2DM). This study investigates these inequalities in Iran, ...

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 ...

When Donald Trump stormed into the White House in 2016, horrified Americans debated, almost endlessly, whether the shocking result was an expression of widespread racism (backlash to a Black president ...

Differences between simple probit regression analyses and the researchers’ IV probit results suggest that simple models may be underestimating the true effect, though there is a reliable association ...

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 ...

1 Department of Statistics, Ladoke Akintola University of Technology, Ogbomoso, Nigeria. 2 Department of Statistics, Federal University of Technology Akure, Nigeria. 3 Department of Statistics, ...

ABSTRACT: The efficacy of insecticide-treated nets (ITNs) is increasingly compromised by the prevalence of malaria vectors resistant to pyrethroids. In response to this issue, a new generation of ITNs ...

Abstract: An adaptive least mean M-estimate algorithm for censored regression (CR-LMM) is presented for the robust parameter estimation of the censored regression ...

Not too long ago, an investment research firm exposed a company I had invested in as a massive fraud. Most of this company’s revenue apparently comes from some other companies that they had recently ...

Objective The aim of this study was to construct a predictive model in order to develop an intervention study to reduce the prevalence of stunting among children aged 12–23 months. Design The study ...