Logistic regression in Stata is a statistical model to estimate relationship between a binary outcome variable and one or more predictor variables.
Tabout in Stata helps to create publication quality tables. Tables help readers to understand complex data and summarize research findings.
Panel data analysis in Stata is used to analyze data that varies across both time and individuals or groups. I will discuss step-by-step process for conducting these statistical analysis in Stata.
Log returns in Stata are used to measure percentage change in value of an investment over a period of time. I provide a comprehensive guide to calculate these.
Merging datasets in Stata helps in combining multiple sources of information into a single data file using merge command.
Data reshaping in Stata is a common task in data analysis and is often used to prepare data for further analysis or to make it more easily interpretable.
The t test in Stata is used to measure mean difference between two variables, or two groups, or a single variable with a hypothesized value.
I have written the ultimate guide on renaming variables in Stata. Sometimes, we need to rename the existing variables names. There may…
Stata needs numerical data to process it for analysis. Sometimes, we come up with the data which has non-numeric characters. This guide step by step explains how to change string variable to numeric variable in Stata.
Descriptive statistics in Stata provide an overview of data. This comprehensive guide explains all descriptive commands in Stata with an example.