MediStat Table 1
Baseline characteristics tailored to your study design
Analyze baseline characteristics according to the study design, including RCTs and observational studies, and prepare a manuscript-ready Table 1.
What to prepare
An Excel or CSV dataset, study design, and group and variable definitions
What you get
Table 1 · HTML, Word, LaTeX
Requirements
Python 3.9+ · pandas, scipy, python-docx; see the original documentation for all dependencies
Python setup guide ↗Interpreting the results
Comparisons serve different purposes in RCTs and observational studies. Confirm the group and variable definitions first.
Install in Claude Code
Enter these commands in the Code view of the Claude app or the Claude Code panel in VS Code. These are installation commands, not prompts for a regular Claude chat.
Run the first line, then the second. Restart Claude Code after installation to load the skill.
/plugin marketplace add JeonKH81/MediStat-Table1 /plugin install medistat-table1@medistat-table1
These commands register the skill. Python, R and analysis packages must be prepared separately; check the requirements above and the original documentation.
Installation instructions on GitHub ↗Try this prompt after installation
Replace the bracketed fields with your own information, then paste the prompt into Claude Code.
[Goal] Create a manuscript-ready Table 1. [Inputs] File: [data filename] Study design: [RCT / observational study / other] Groups: [variable and group definitions] Variables to include: [list] [Task] Use MediStat Table 1 to summarize baseline characteristics and save HTML and Word versions. [Checks] First confirm variable types, handling of missing values and comparisons appropriate for the study design.
This page provides usage and installation guidance. Analyses and file processing take place in your installed Claude Code environment.