Importance

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Abstract

This invention provides such new and useful methods and systems for accurately comparing treatment efficacy and safety using heterogeneous clinical trials in the absence of a common control group. To accomplish this, the invention leverages both novel regression techniques and novel simulation techniques to normalize heterogeneous clinical trials to a common background, and to analytically isolate the portion of the patient response specifically attributable to a given treatment and not the placebo effect. The sequential regression and simulation techniques of the disclosed methods and systems further allow for the outcomes of subjects of heterogeneous clinical trials to be simulated as a function of treatment and patient-level features, enabling the creation of decision support tools capable of making personalized treatment recommendations.

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First Claim