New graphics and dtable facilitate faster, higher-quality output [5.5].
Stata 18 runs on Windows (10 or newer / Server 2019 or newer), macOS (11.0 Big Sur or newer, with native Apple Silicon support), and Linux (64-bit).
python: from sfi import Data import pandas as pd df = pd.DataFrame('y': Data.get('y'), 'x': Data.get('x')) # Do scikit-learn, etc. Data.store('pred', predictions, None) end
Understanding Stata 18 requires understanding StataNow, StataCorp’s continuous-release model announced in April 2024. Historically, new Stata features were delivered only with major version releases every two years. StataNow changes this paradigm by providing continuous access to new features as soon as they are ready from the development, testing, and documentation groups. Subscribers receive updates throughout the lifetime of a release, gaining immediate access to features that will also eventually appear in the next major version. Stata 18
for variable names and macros, making it faster to write complex expressions. Alias Variables : Use alias variables across different to access data without making memory-heavy copies. 2. Generating Automated Tables (Table 1) One of the biggest additions is the
Stata 18 introduces powerful features designed to streamline data analysis, reporting, and workflow efficiency. The release focuses heavily on , specifically through the new dtable command, and enhances data handling with alias variables and framesets . 1. Key New Features in Stata 18
Building on the "Credibility Revolution" in econometrics, Stata 18 adds new tools for . Specifically, it now handles heterogeneous treatment effects . When different groups are treated at different times (staggered adoption), traditional TWFE (Two-Way Fixed Effects) models can be biased. Stata 18’s new commands provide robust estimators to handle these complex causal scenarios. All-New Meta-Analysis Features Subscribers receive updates throughout the lifetime of a
These resources focus on specific "headline" features of version 18: Reporting & Tables : A detailed technical post on the new
capture noisily regress y x if _rc display as error "Regression failed: " _rc exit _rc
Programmatically control minor design elements without launching the interactive GUI. ⚡ Performance: Stata/MP Speed Advancements specifically through the new dtable command
Clinical trials and other sequential experiments require careful monitoring to ensure ethical and efficient conduct. Stata 18 adds support for group sequential designs, allowing you to calculate efficacy and futility stopping bounds for clinical trials and find required sample sizes for interim and final analyses when testing proportions, means, or survivor functions.
: Automatically computes means, standard deviations, frequencies, and percentages. Customization
: A practical paper on integrating Stata 18 with Python/Jupyter environments specific statistical method