⚡ Causal Agent

Causal Inference • Treatment Effects • Study Design
● Ready

⚡ Causal Agent Ready

Your AI-powered assistant for causal inference and treatment effect estimation.
I can perform propensity score matching, TMLE, causal forests, mediation analysis,
and execute both Python and R code with automatic iteration.

🎯 PS Matching (R)
Estimate the treatment effect using propensity score matching
🧬 TMLE Analysis (R)
Perform TMLE analysis on observational data
⚖️ Balance Check (R)
Check covariate balance after IPW
🔍 Sensitivity Analysis (R)
Run sensitivity analysis with E-values
🌲 Causal Forest (R)
Analyze treatment effects with causal forest
🔗 Mediation (R)
Causal mediation analysis - R mediation package
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Supported: CSV, Excel, SPSS, SAS, Stata, R (RDS/Rda), TSV