Stata 18 introduces powerful features designed to streamline data analysis, reporting, and workflow efficiency. The release focuses heavily on automated reporting, specifically through the new dtable command, and enhances data handling with alias variables and framesets. 1. Key New Features in Stata 18
Descriptive Statistics Tables (dtable): This is one of the most significant additions. It allows you to generate a "Table 1" for publications—summarizing both continuous and categorical variables—with just one line of code.
Alias Variables Across Frames: You can now work with variables from different frames as if they were in the same dataset. Alias variables reference data in linked frames without taking up additional memory, making multi-dataset analysis much faster.
Frame Sets: The new frames save and frames use commands allow you to save and restore entire sets of frames simultaneously, preserving relationships between multiple datasets. Stata 18
Updated Graph Styles: Stata 18 features a modern default graph scheme (stcolor) with a white background, updated colors, and improved layout defaults like horizontal y-axis labels. 2. Enhanced Reporting and Exporting
Stata 18 simplifies the transition from analysis to publication-ready documents.
Customizable Tables: Beyond descriptive statistics, the collect suite allows for deep customization of table styles, which can then be exported directly to Word, Excel, PDF, HTML, or LaTeX. Stata 18 introduces powerful features designed to streamline
Do-file Editor Improvements: New features include autocomplete for variable names and macros, along with templates to help maintain consistency across different projects. 3. Advanced Statistical Additions Tables of descriptive statistics | New in Stata 18
Survival analysis received a major upgrade with the introduction of the Interval-Censored Cox Proportional Hazards Model.
In previous versions, survival analysis (time-to-event data) required exact failure times or right-censoring. However, in many medical and biological studies, the exact time of an event is unknown; researchers only know it occurred between two examination points (e.g., a tumor was absent at Visit 1 but present at Visit 2). Function: It estimates the causal effect of a
medte)Perhaps the most theoretically important addition in Stata 18 is the medte (meditation treatment effects) command.
medte allows for sensitivity analysis regarding the "sequential ignorability" assumption, allowing researchers to test how robust their results are to unmeasured confounding.Yes, but computationally intensive tasks like Bayesian MCMC will be slow. For large projects, 16 GB of RAM and an SSD are strongly recommended.
No software is perfect. Here are the most common criticisms of Stata 18, with honest assessment:
pyplot bridge close the gap considerably.Date: October 26, 2023 Subject: Analysis of New Features and Enhancements in Stata 18 Prepared For: Research Team / Data Management Unit