机译:Reducing the complexity of high-dimensional environmental data: An analytical framework using LASSO with considerations of confounding for statistical inference
Univ Buffalo||Univ Buffalo;
Univ Pittsburgh;
Univ MassachusettsCatholic Univ UruguayKarolinska InstUniv Republ Uruguay UDELARUniv BuffaloUniv Buffalo State Univ New York;
Machine learning; LASSO; High-dimensional data; Environmental epidemiology; Child health; Statistical inference;