Evaluating methods for Lasso selective inference in biomedical research: a comparative simulation st...
Evaluating methods for Lasso selective inference in biomedical research: a comparative simulation study
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Publisher
England: BioMed Central Ltd
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English
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England: BioMed Central Ltd
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Variable selection for regression models plays a key role in the analysis of biomedical data. However, inference after selection is not covered by classical statistical frequentist theory, which assumes a fixed set of covariates in the model. This leads to over-optimistic selection and replicability issues.
We compared proposals for selective in...
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Full title
Evaluating methods for Lasso selective inference in biomedical research: a comparative simulation study
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TN_cdi_doaj_primary_oai_doaj_org_article_362454f9d174433abefe626b3d98eb69
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_362454f9d174433abefe626b3d98eb69
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ISSN
1471-2288
E-ISSN
1471-2288
DOI
10.1186/s12874-022-01681-y
