Evaluating the treatment effects model for estimation of cross-sectional associations between risk factors and cardiovascular biomarkers influenced by medication use.

Andrew J SpiekerJoseph A C DelaneyRobyn L McClelland

Published in: Pharmacoepidemiology and drug safety (2015)

If predictors of medication use are measured, data are cross-sectional, and effects are approximately additive, then Heckman's model is more accurate relative to alternative approaches.

Keyphrases

cross sectional
risk factors
high resolution
machine learning
big data
artificial intelligence