Matches in SemOpenAlex for { <https://semopenalex.org/work/W2046124401> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W2046124401 endingPage "305" @default.
- W2046124401 startingPage "296" @default.
- W2046124401 abstract "The modern statistical literature is replete with methods for performing variable selection and prediction in standard regression problems. However, simple models may misspecify or fail to capture important aspects of the data generating process such as missingness, correlation, and over/underdispersion. In this article we describe EEBoost, a strategy for variable selection and prediction which can be applied in high-dimensional settings where inference for low-dimensional parameters would typically be based on estimating equations. The method is simple, flexible, and easily implemented using existing software. The EEBoost algorithm is obtained as a modification of the standard boosting (or functional gradient descent) technique. We show that EEBoost is closely related to a class of L1 constrained projected likelihood ratio minimizations, and therefore produces similar variable selection paths to penalized methods without the need to apply constrained optimization algorithms. The flexibility of EEBoost is illustrated by applying it to simulated examples with correlated outcomes and time-to-event data with missing covariates. In both cases, EEBoost outperforms variable selection methods which do not account for the relevant data characteristics. Furthermore, it is shown to be substantially faster to compute than competing methods based on penalized estimating equations. We also apply a version of EEBoost based on the Buckley–James estimating equations to data from an HIV treatment trial, where the aim is to identify mutations which confer resistance to antiretroviral medications. Proofs of the main results appear in the Supplemental Materials (available online)." @default.
- W2046124401 created "2016-06-24" @default.
- W2046124401 creator A5037816406 @default.
- W2046124401 date "2011-03-01" @default.
- W2046124401 modified "2023-09-28" @default.
- W2046124401 title "EEBoost: A General Method for Prediction and Variable Selection Based on Estimating Equations" @default.
- W2046124401 cites W1678356000 @default.
- W2046124401 cites W1988790447 @default.
- W2046124401 cites W2002316706 @default.
- W2046124401 cites W2024046085 @default.
- W2046124401 cites W2025179763 @default.
- W2046124401 cites W2026599052 @default.
- W2046124401 cites W2037803733 @default.
- W2046124401 cites W2051458787 @default.
- W2046124401 cites W2063978378 @default.
- W2046124401 cites W2073006623 @default.
- W2046124401 cites W2082071925 @default.
- W2046124401 cites W2088855331 @default.
- W2046124401 cites W2088883866 @default.
- W2046124401 cites W2093130286 @default.
- W2046124401 cites W2101095383 @default.
- W2046124401 cites W2106161928 @default.
- W2046124401 cites W2106413636 @default.
- W2046124401 cites W2115190665 @default.
- W2046124401 cites W2149199519 @default.
- W2046124401 cites W2149860264 @default.
- W2046124401 cites W4230692066 @default.
- W2046124401 doi "https://doi.org/10.1198/jasa.2011.tm10098" @default.
- W2046124401 hasPublicationYear "2011" @default.
- W2046124401 type Work @default.
- W2046124401 sameAs 2046124401 @default.
- W2046124401 citedByCount "22" @default.
- W2046124401 countsByYear W20461244012012 @default.
- W2046124401 countsByYear W20461244012015 @default.
- W2046124401 countsByYear W20461244012017 @default.
- W2046124401 countsByYear W20461244012019 @default.
- W2046124401 countsByYear W20461244012020 @default.
- W2046124401 countsByYear W20461244012022 @default.
- W2046124401 countsByYear W20461244012023 @default.
- W2046124401 crossrefType "journal-article" @default.
- W2046124401 hasAuthorship W2046124401A5037816406 @default.
- W2046124401 hasConcept C105795698 @default.
- W2046124401 hasConcept C11413529 @default.
- W2046124401 hasConcept C119043178 @default.
- W2046124401 hasConcept C119857082 @default.
- W2046124401 hasConcept C124101348 @default.
- W2046124401 hasConcept C126255220 @default.
- W2046124401 hasConcept C134306372 @default.
- W2046124401 hasConcept C148483581 @default.
- W2046124401 hasConcept C154945302 @default.
- W2046124401 hasConcept C182365436 @default.
- W2046124401 hasConcept C185429906 @default.
- W2046124401 hasConcept C204016326 @default.
- W2046124401 hasConcept C2776214188 @default.
- W2046124401 hasConcept C33923547 @default.
- W2046124401 hasConcept C41008148 @default.
- W2046124401 hasConcept C9357733 @default.
- W2046124401 hasConceptScore W2046124401C105795698 @default.
- W2046124401 hasConceptScore W2046124401C11413529 @default.
- W2046124401 hasConceptScore W2046124401C119043178 @default.
- W2046124401 hasConceptScore W2046124401C119857082 @default.
- W2046124401 hasConceptScore W2046124401C124101348 @default.
- W2046124401 hasConceptScore W2046124401C126255220 @default.
- W2046124401 hasConceptScore W2046124401C134306372 @default.
- W2046124401 hasConceptScore W2046124401C148483581 @default.
- W2046124401 hasConceptScore W2046124401C154945302 @default.
- W2046124401 hasConceptScore W2046124401C182365436 @default.
- W2046124401 hasConceptScore W2046124401C185429906 @default.
- W2046124401 hasConceptScore W2046124401C204016326 @default.
- W2046124401 hasConceptScore W2046124401C2776214188 @default.
- W2046124401 hasConceptScore W2046124401C33923547 @default.
- W2046124401 hasConceptScore W2046124401C41008148 @default.
- W2046124401 hasConceptScore W2046124401C9357733 @default.
- W2046124401 hasIssue "493" @default.
- W2046124401 hasLocation W20461244011 @default.
- W2046124401 hasOpenAccess W2046124401 @default.
- W2046124401 hasPrimaryLocation W20461244011 @default.
- W2046124401 hasRelatedWork W1965484943 @default.
- W2046124401 hasRelatedWork W1989854267 @default.
- W2046124401 hasRelatedWork W1990732953 @default.
- W2046124401 hasRelatedWork W2080631979 @default.
- W2046124401 hasRelatedWork W2224242906 @default.
- W2046124401 hasRelatedWork W2590398596 @default.
- W2046124401 hasRelatedWork W2609509947 @default.
- W2046124401 hasRelatedWork W2738935481 @default.
- W2046124401 hasRelatedWork W3142037482 @default.
- W2046124401 hasRelatedWork W3173987234 @default.
- W2046124401 hasVolume "106" @default.
- W2046124401 isParatext "false" @default.
- W2046124401 isRetracted "false" @default.
- W2046124401 magId "2046124401" @default.
- W2046124401 workType "article" @default.