Analyses take 5-10 minutes for full statistical rigor

NHIS Research Sandbox

Ask a research question about the National Health Interview Survey. ResearchQ will clean the relevant data slice, select the appropriate statistical methods, run the analysis, and return verified results with reproducible code.

This isn't a chatbot giving you instant guesses. The agent does real analysis: survey-weighted regressions, Taylor linearization, proper variance estimation. That takes a few minutes. The same rigor you'd get from a biostatistician, at AI speed.

ResearchQ AI Research Agent · NHIS 1997–2023

NHIS dataset loaded. 1.2M weighted records, 2005–2023. Ask me a research question and I'll run a full statistical analysis. This typically takes 5-10 minutes.

Example questions:

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What happens when you hit send

Automatically applies survey weights and Taylor linearization

Selects appropriate regression model for your question

Generates reproducible R/Python code with pinned package versions

Outputs formatted tables and figures ready for manuscript insertion

Why the NHIS?

The National Health Interview Survey is one of the most complex public health datasets in existence. It requires multi-stage probability sampling, differential survey weights, and Taylor linearization for variance estimation. Most AI tools fail completely on it.

If ResearchQ handles the NHIS, it can handle your institutional data.

Have your own dataset?

Send us your data and research questions. We'll give you a free feasibility assessment.

Get a free assessment →