Analyze Tables withMethodology-Informed Automation
Upload CSV or Excel tables and run descriptive statistics, regression, survival analysis, and more. The same methodology library that powers meta-analysis guides the analysis.
Start Clinical Data AnalysisTable Upload
Upload CSV or Excel files. Data is stored per project and used for analysis. Supports large tables with automatic parsing.
Smart Methodology
Analysis is guided by relevant methodology from statistical textbooks and code (e.g. Doing Meta-Analysis in R, regression, survival analysis).
Python Sandbox
Generated code runs in the same sandbox as meta-analysis: pandas, numpy, scipy, statsmodels, matplotlib. Results and plots returned to you.
Same Permission
Uses the same can_use_meta_analysis permission. One workflow for both meta-analysis and general clinical/observational data.
From Meta-Analysis to General Clinical Data
Use the same methodology library and execution environment for both meta-analysis and standalone table analysis. Upload a book or paper to the methodology library to improve results for everyone.
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