Multinomial logistic regression is a method for modeling categorical outcomes with more than two levels. It allows...

# Stata

Ordinal logistic regression is a type of regression analysis that is used when the outcome variable is...

In statistical analysis, particularly in regression models, identifying outliers and high-leverage observations is crucial for ensuring the...

In this blog post, I will show you how to use two useful commands in stata for...

Logistic regression is a statistical method for modeling binary outcomes, such as yes/no, success/failure, or alive/dead. It...

Regression diagnostics are crucial for validating the assumptions underlying linear regression models. One of the fundamental assumptions...

How it is different from Cronbach’s alpha? 📒 Dunn, T. J., Baguley, T., & Brunsden, V. (2014)....

Before we can trust the results of a regression model, we need to make sure that some...

In this blog post, I will show you how to compare the fit of different regression models...

Beta coefficients and unstandardized coefficients are two different ways of presenting the results of regression analyses. Why...

In this post, I will show you how to run regressions with interaction effects using Stata, and...

In this blog post, I will show you how to run a continuous by continuous interaction in...

Running a bivariate regression can help us understand the relationship between two variables. In this tutorial, we’ll...

Handling missing data is an essential part of any data analysis. Multiple imputation is a robust method...

Two way plot line is a tool for visualizing the relationship between two variables in Stata. It...