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Project

Offline and online evaluation of medical treatment decision strategies based on large scale electronic health registers

The aim of this project is to come up with flexible, robust and efficient statistical methods for evaluating the effect of time-varying treatment strategies or policies, which match the complexities of large electronic health registers. The results will be broadly useful to policy makers and companies who wish to use ‘big data’ to evaluate interventions.

Date:1 Jan 2016 →  31 Dec 2019
Keywords:intensive care medicine, time-dependent confounding, electronic health records, Big Data, G-estimation, sal inference
Disciplines:Applied mathematics in specific fields, General mathematics, Other mathematical sciences and statistics, Analysis, History and foundations