In this blog post, we’ll explore various graphing options in Stata using the NHANES2 dataset. The National...
Stata
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...
Regression Coefficients, Odds Ratios, and Marginal Effects Feature Regression Coefficients Odds Ratios Marginal Effects Definition Represents the...
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 commonly used to model a binary outcome (e.g. whether an individual accesses mental health services: Yes or No)....
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)....
