For survival analysis, Stata 18 adds for variable selection in high-dimensional settings, and GOF plots for assessing survival model fit with right-censored and interval-censored data. Time series analysts benefit from local projections for impulse-response functions , ARIMA and ARFIMA model selection using information criteria, and flexible demand systems including AIDS and QUAIDS.
With the enhanced dyndoc engine, you can write files combining Markdown text and Stata code. When processed, Stata executes the code, inserts the resulting tables or graphs, and outputs a clean HTML or PDF report. Automated Word and Excel Reports
Explore the model space efficiently for linear regression models. Stata 18
If you'd like more specific information, I can help you with: for a specific task. Explaining the dtable command in more detail. Examples of reghdfe for panel data. Let me know how you'd like to explore Stata 18 further. AI responses may include mistakes. Learn more Share public link
Stata 18 follows the same perpetual licensing model as previous versions: For survival analysis, Stata 18 adds for variable
As he moved into visualization, Aris noticed something different. His graphs didn’t look like the "old Stata" anymore. Everything was cleaner, brighter, and more modern. Stata 18 had introduced a —a vibrant color palette on a crisp white background with horizontal y-axis labels that made his results pop right off the screen. Tackling the Endogeneity Ghost
: Always use a temporary name for your postfile handle (e.g., tempname myhandle When processed, Stata executes the code, inserts the
All deprecated commands still work in Stata 18 but will produce a warning. They are scheduled for removal in Stata 19.
Modern data science increasingly relies on Python’s ecosystem of machine learning and data visualization libraries. Stata 18’s Python integration allows you to leverage these capabilities while maintaining access to Stata’s statistical expertise. The integration works in both directions: you can call Python from within Stata, and you can call Stata from within Python.
Model multiple correlated outcomes simultaneously across studies using the meta suite.