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Interested in collaborating on statistical methodology research or applying our tools to your work?

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Request early access to our missing data mechanism detection tools for your research or organization.

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Areas of Interest

We're particularly interested in collaborations involving:

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Clinical trial analysis, regulatory submissions, biostatistics, missing data in medical research

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Risk modeling, economic analysis, actuarial statistics, incomplete financial data

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Cross-disciplinary statistical methodology, missing data analysis, computational statistics

General Inquiries: contact@sgcx.org
Research Collaboration: research@sgcx.org
Project Lacuna: lacuna@sgcx.org
GitHub: github.com/sgcx-org

We believe in transparent, mutually beneficial collaborations that advance statistical practice:

Open Methods: We share our methodologies and encourage validation
Practical Focus: Our tools are designed for immediate real-world application
Statistical Rigor: We maintain high standards while embracing innovation
Human-AI Balance: We combine human expertise with AI capabilities transparently

When you reach out to us, you can expect:

Rapid Response: We typically respond within 24-48 hours
Technical Depth: Our conversations focus on methodological details and practical applications
Collaborative Spirit: We're interested in partnerships that benefit both parties and advance the field
Flexibility: We can adapt our approaches to fit different organizational needs and constraints

Join us in building the future of human-AI collaborative research

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