Missingness patterns classified without false certainty
For analysts judging whether absent values threaten a stated analytical goal.
Works with
- Ollama
- DeepSeek
The prompt130 words · 3 blanks
What you fill in
- Missingness profile
[data_profile]ExampleField-level rates, subgroup summaries, collection dates, and outcome availability - Intended analysis
[analysis_goal]ExampleEstimate an average treatment effect - Practical alert percentage
[alert_threshold]Example10
How to use it
- 1Open it in PromptVault. Find it in Data & Research, or search for “Missingness patterns classified without false certainty”.
- 2Fill in the 3 blanks. missingness profile, intended analysis and practical alert percentage — the only things the prompt cannot know.
- 3Copy and paste it into Ollama. It also works with DeepSeek.
About this prompt
“Missingness patterns classified without false certainty” is a intermediate data & research prompt. For analysts judging whether absent values threaten a stated analytical goal. It is 130 words long and written to get a usable answer on the first message, in Ollama and DeepSeek or any other chat assistant. Good for: analysis, statistics, data analysis, deep dive and step by step. Like every prompt in PromptVault, it was written and edited in-house, and it works offline once the app is installed.
