RetroSight applies advanced mathematical and statistical methods to better understand the root cause of inconclusive clinical trials

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The Approach

Every project starts with a comprehensive data review to determine whether and how we may be able to impact data analysis. Most importantly, we only engage with sponsors when we are confident that this approach will add value. If we proceed, the specific tools utilized are customized to the specific issues seen in your trial.


This approach aims to optimize analysis of inconclusive trials, and to uncover confounding factors in the data to enable the optimal design of future studies. Methodologies applied may include data clustering, principal component analysis, regression to the mean, and/or definition of a unique composite covariate.

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Reducing clinical data variability. Empowering better decision making. Accelerating the launch of therapeutics to market.