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Stat Tenacity provides statistical consulting services to companies that need to understand their critical data. Whether you’re a small biotech startup or a multinational pharma company, we can give you deep insight into your current and future data to help you achieve your organization’s goals. We also provide predictive modeling and statistical consulting to the insurance, investment, medical devices, and medical imaging industries.

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PREDICT OUTCOMES

Using historical data, we can develop models that generate predictions with honest performance levels.

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RETAIN DEFENDABLE RESULTS

Be assured that the results from your data are accurate and valid.

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PERFORM BETTER EXPERIMENTS

Discover better ways to run experiments more efficiently to collect better data for analysis.

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“Our goals are to progressively apply methods to raise the analytic performance as well as clinical utility of quantitative medical imaging.  Stat Tenacity helps on both of those fronts with the development and application of statistical methods needed to meet these goals for the  benefit of patients.”

 

Andrew J. Buckler President and CTO, Elucid Bioimaging Inc.

“Working with Stat Tenacity was not only productive, but enjoyable, and together we crafted a process incorporating design of experiment, factorial analysis, and machine learning that was so successful it was acquired by IOTA. I would recommend Stat Tenacity to anyone interested in applying machine learning/predictive analytics to academic or commercial subjects.”

David Wilt Cofounder, IOTA Technologies

“Kjell Johnson exceeded our expectations by his attitude of active listening and trying to understand the customer’s needs, and then delivering analyses that actually met our needs. This is a first for us….His is the rare brain which is statistically expert and adept yet he understands enough of the biologist’s mind and thought processes to actually be able to interact meaningfully with us.”

Senior Research Fellow for a large pharmaceutical company

 

Get a handle on predictive modeling.