Ontology highlight
ABSTRACT:
SUBMITTER: Reid S
PROVIDER: S-EPMC5006118 | biostudies-literature | 2016 Apr
REPOSITORIES: biostudies-literature
Biostatistics (Oxford, England) 20151127 2
We propose a new approach for sparse regression and marginal testing, for data with correlated features. Our procedure first clusters the features, and then chooses as the cluster prototype the most informative feature in that cluster. Then we apply either sparse regression (lasso) or marginal significance testing to these prototypes. While this kind of strategy is not entirely new, a key feature of our proposal is its use of the post-selection inference theory of Taylor and others (2014, Exact ...[more]