We’ll find that needle – but only if it’s there

About Target Analytics

Target Analytics helps answer mission-critical questions in life sciences, pharmaceutical, financial, and all other industries faced with ever-larger data haystacks and ever more elusive needles. Our products use unique patented methodology to improve precision and reliability of causal inference, the analysis of cause and effect relationships in data.

Traditional analytical approaches, especially in causal analysis (as required in drug trials, for instance), are increasingly inadequate. For the most part, the analyses are not targeted to any particular parameters, and the methods of finding specific relationships between input and outcome variables require custom work by highly trained statisticians. Legacy methods often leave too much information on the table, are prone to high bias and therefore often produce misleading results. In addition, outdated study designs do not adapt to accumulating data, resulting, among other things, in failed clinical trials for highly effective drugs. The need for adaptive designs and attendant new statistical tools is now well recognized by the academic community, the government and the industry. For example, adaptive design represents a top-ranked initiative at the United States Food and Drug Administration.

Target Analytics is the first company to develop a comprehensive suite of causal data analysis tools that address these problems. Building on a rich academic research foundation involving top institutions and scientists in the areas of semi-parametric models and causality, including the groundbreaking work of the company's founder, Dr. Mark van der Laan at UC Berkeley, the Target Analytics product line utilizes novel, proprietary methodology of causal inference and targeted maximum likelihood analysis to improve precision and reliability over best existing tools. Target Analytics super-learning algorithms automatically arrive at the best combination of input models based on the cross-validation within each particular dataset, eliminating the need for high levels of domain, statistical, and programming expertise. In several controlled studies, Target Analytics methodology have shown significantly higher precision and reliability than such state-of-the-art current approaches as least-angle, stepwise and other modern regression analyses, random forest, and neural networks.

The company has filed a series of patent applications covering all aspects of its innovative data analysis methodology.

Founders

Mark van der Laan

Mark van der Laan, Ph.D., is a Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics and Statistics at UC Berkeley. His major research interests include causal inference, survival analysis, censored data, multiple testing, machine learning, and semiparametric models. He had been awarded numerous research grants, including a First Award NIH grant, and NIH-R01 grants "Targeted Maximum Likelihood Learning", "Statistical Analysis of Longitudinal Studies with Gene Expression Data" and "Data Adaptive Estimation in Epidemiology and Genomics".

Dr. van der Laan is the recipient of many prestigious awards, including the Mortimer Spiegelman Award presented by the Statistics Section of the American Public Health Association (APHA), the van Dantzig Award (the most prestigious award in operation research and statistics in the Netherlands awarded every 5 years), and the President Award (2005) presented by the Committee of Presidents of Statistical Societies to best statistician under 40. Dr. van der Laan advised over twenty Ph.D. students and post-doctoral researchers. He is the author of several pending patents covering the fundamentals of the company’s innovative data analysis methodology.

Roel Pieper

Mr. Pieper is Chairman of Favonius Ventures, an investment firm based in Amsterdam and London. Named by Time Magazine among the Top 25 executives in Europe, Mr. Pieper had previously served as Senior Vice President of Strategy at Philips N.V., President and CEO of Tandem Computers Inc., and Chief Technology Officer of Software AG. He had advised the Dutch government on technology related projects such as the Dutch Roadpricing project and the Dutch Broadband Strategy. Today, Mr. Pieper is a part-time Professor of computer sciences and business administration at the University of Twente, Netherlands.

Contact Us

Target Analytics, Inc.
2225 5th St
Berkeley, CA 94710

info@targetanalytics.com