Codes for "Using large language models for sensitivity analysis in causal inference: cases studies on Cornfield inequality and E-value"

The core implementation of this study is included in the script all.py.

• Input data are provided in sensi_data_v5.csv. This file includes extracted information for each observational study. The script will read each row of this file as model input.

• Initialization prompt is loaded from initialization prompt.txt.

• Full prompts are defined within the script.

• The output is a structured JSON result, which is further converted to .csv for reporting the final results.