Code
3S007216
Duration
01 January 2016 → 31 December 2019
Funding
Research Foundation - Flanders (FWO)
Promotor
Fellow
Research disciplines
-
Natural sciences
- Analysis
- Applied mathematics in specific fields
- General mathematics
- History and foundations
- Other mathematical sciences and statistics
Keywords
intensive care medicine
time-dependent confounding
electronic health records
Big Data
G-estimation
sal inference
Project description
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.