Survey weighting is a statistical technique employed to adjust survey data to better represent the target population....
Stata
Macros are one of Stata’s most powerful features, allowing you to store and manipulate text or numbers...
US government-provided datasets, such as the Behavioral Risk Factor Surveillance System (BRFSS) and Youth Risk Behavior Surveillance...
Data management in statistical analysis often requires consistent documentation across multiple datasets. Variable labels in Stata serve...
In this blog post, we’ll explore various graphing options in Stata using the NHANES2 dataset. The National...
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...
