Prompt

Perform causal inference analysis on observational data.

<research_question>
{causal relationship to investigate}
</research_question>

<data_description>
- Treatment: {what intervention}
- Outcome: {what's measured}
- Confounders: {variables affecting both}
- Sample size: {number of observations}
</data_description>

<study_limitations>
{why can't run RCT}
</study_limitations>

Analyze causality:
1. Causal framework
   - DAG construction
   - Assumptions listing
   - Identification strategy
   
2. Method selection
   - Matching methods
   - Propensity scores
   - Instrumental variables
   - Regression discontinuity
   - Difference-in-differences
   
3. Implementation
   - Covariate balance check
   - Treatment effect estimation
   - Sensitivity analysis
   - Robustness checks
   
4. Interpretation
   - Effect sizes
   - Confidence intervals
   - Limitations
   - Policy implications

Include visualization of results.