PromptVaultCausal claims tested against identification assumptions
For practitioners stress-testing whether an observational design identifies its stated estimand.
Works with
- ChatGPT
- Claude
The prompt275 words · 3 blanks
What you fill in
- Causal analysis plan
[analysis_plan]ExampleDesign rationale, cohort rules, timing, variables, estimand, and proposed estimators - Target estimand
[estimand_type]ExampleAverage treatment effect - Observed data structure
[data_structure]ExampleLongitudinal panel
How to use it
- 1Open it in PromptVault. Find it in Data & Research, or search for “Causal claims tested against identification assumptions”.
- 2Fill in the 3 blanks. causal analysis plan, target estimand and observed data structure — the only things the prompt cannot know.
- 3Copy and paste it into ChatGPT. It also works with Claude.
About this prompt
“Causal claims tested against identification assumptions” is a advanced data & research prompt. For practitioners stress-testing whether an observational design identifies its stated estimand. It is 275 words long and written to get a usable answer on the first message, in ChatGPT and Claude or any other chat assistant. Good for: analysis, statistics, hypothesis, critique and deep dive. Like every prompt in PromptVault, it was written and edited in-house, and it works offline once the app is installed.
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