Statistical support for clinical trials, graduate research, and business decisions, from data collection and study design through final analysis and manuscript preparation.
Every engagement starts with the same question: what decision does this data need to support? The service that follows depends on the answer.
Statistical analysis plans, sample size and power calculations, and analysis support from pre-clinical work through PMA submission. Certified in Clinical Research Conduct and Management (UC Berkeley Extension).
One-on-one instruction in statistical methodology and software: SAS, R, SQL, Excel, and Python for students and professional teams building personal or in-house capability.
Research design consultation, analysis, and writing support to get a study from data to a submission-ready manuscript.
Medical research carries a higher bar for documentation and defensibility at every stage. Statistical Analysis Plans, methodology, and reporting are constructed to withstand review, from an IRB panel to a journal committee.
Most graduate students do not need a statistician to do the work for them, they need someone to make the techniques make sense. 'Why?' Sessions are paced around your own study, so what you learn applies immediately, not just in theory.
Tell me a little about the study or project and I'll follow up to talk through scope.
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