Identifying candidate risk factors for prescription drug side effects using causal contrast set mining
Big longitudinal observational databases present the opportunity to extract new knowledge in a cost effective manner. Unfortunately, the ability of these databases to be used for causal inference is limited due to the passive way in which the data are collected resulting in various forms of bias. In...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2015
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| Online Access: | http://eprints.nottingham.ac.uk/30451/ http://eprints.nottingham.ac.uk/30451/ http://eprints.nottingham.ac.uk/30451/1/risk_factor_discovery_revisions.pdf |