To use a custom font in matplotlib graphs and figures in Google Colab, it isn’t as straightforward...

# Data Science

What are Instrumental Variables? Instrumental variable regression is a statistical method used when you suspect that there’s...

Propensity score matching (PSM) is a statistical technique that allows us to estimate the effect of a...

Aspect Fixed Effects (FE) Random Effects (RE) Definition Represent constant parameters that apply to all individuals in the sample. Capture variation across...

Understanding Fixed Effects, Random Effects, and Mixed Effects 1) Fixed Effects Models: In fixed effects models, the...

In this blog post, we’ll explore Poisson regression models using the HINTS 6 dataset. Our dependent variable...

The margins command in Stata offers a versatile approach to interpreting the results of regression models. Marginal...

Ordinal logistic regression (ordered logistic regression) is a type of regression analysis that is used when the...

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

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 listcoef command in stata for logistic...

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...

When reporting the results of a regression analysis, it is important to be careful about the language...

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