Common Support Analysis (R)
Overview
Iterative development of R code for common support analysis using Claude AI, demonstrating the prompt-refine workflow for building statistical analysis code.
Topic: Causal inference and common support in treatment effect estimation
Code Files
Sequential prompts showing iterative development:
| File | Description |
|---|---|
claude-sonnet-v4-prompt-01.R |
Initial prompt and response |
claude-sonnet-v4-prompt-02.R |
First refinement |
claude-sonnet-v4-prompt-03.R |
Adding features |
claude-sonnet-v4-prompt-04.R |
Further improvements |
claude-sonnet-v4-prompt-05.R |
Extended analysis |
claude-sonnet-v4-prompt-06.R |
Visualization updates |
claude-sonnet-v4-prompt-07.R |
Additional refinements |
claude-sonnet-v4-prompt-08.R |
Near-final version |
claude-sonnet-v4-prompt-09.R |
Final polished version |
Data
Uses simulated data generated within scripts
Key Features
- Demonstrates iterative AI-assisted coding workflow
- Shows progression from basic to sophisticated analysis
- Real example of prompt engineering for statistical code
- Common support visualization techniques
Learning Objectives
- How to iteratively develop code with AI
- Prompt refinement strategies
- Building complex statistical analyses step-by-step