Matches in SemOpenAlex for { <https://semopenalex.org/work/W4226400038> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W4226400038 abstract "The method of instrumental variables provides a fundamental and practical tool for causal inference in many empirical studies where unmeasured confounding between the treatments and the outcome is present. Modern data such as the genetical genomics data from these studies are often high-dimensional. The high-dimensional linear instrumental-variables regression has been considered in the literature due to its simplicity albeit a true nonlinear relationship may exist. We propose a more data-driven approach by considering the nonparametric additive models between the instruments and the treatments while keeping a linear model between the treatments and the outcome so that the coefficients therein can directly bear causal interpretation. We provide a two-stage framework for estimation and inference under this more general setup. The group lasso regularization is first employed to select optimal instruments from the high-dimensional additive models, and the outcome variable is then regressed on the fitted values from the additive models to identify and estimate important treatment effects. We provide non-asymptotic analysis of the estimation error of the proposed estimator. A debiasing procedure is further employed to yield valid inference. Extensive numerical experiments show that our method can rival or outperform existing approaches in the literature. We finally analyze the mouse obesity data and discuss new findings from our method." @default.
- W4226400038 created "2022-05-05" @default.
- W4226400038 creator A5000432967 @default.
- W4226400038 creator A5037149668 @default.
- W4226400038 creator A5060342203 @default.
- W4226400038 date "2022-03-31" @default.
- W4226400038 modified "2023-10-18" @default.
- W4226400038 title "Estimation and inference for high-dimensional nonparametric additive instrumental-variables regression" @default.
- W4226400038 doi "https://doi.org/10.48550/arxiv.2204.00111" @default.
- W4226400038 hasPublicationYear "2022" @default.
- W4226400038 type Work @default.
- W4226400038 citedByCount "0" @default.
- W4226400038 crossrefType "posted-content" @default.
- W4226400038 hasAuthorship W4226400038A5000432967 @default.
- W4226400038 hasAuthorship W4226400038A5037149668 @default.
- W4226400038 hasAuthorship W4226400038A5060342203 @default.
- W4226400038 hasBestOaLocation W42264000381 @default.
- W4226400038 hasConcept C102366305 @default.
- W4226400038 hasConcept C105795698 @default.
- W4226400038 hasConcept C119857082 @default.
- W4226400038 hasConcept C136764020 @default.
- W4226400038 hasConcept C144237770 @default.
- W4226400038 hasConcept C148220186 @default.
- W4226400038 hasConcept C148483581 @default.
- W4226400038 hasConcept C149782125 @default.
- W4226400038 hasConcept C154945302 @default.
- W4226400038 hasConcept C158600405 @default.
- W4226400038 hasConcept C162144332 @default.
- W4226400038 hasConcept C163175372 @default.
- W4226400038 hasConcept C185429906 @default.
- W4226400038 hasConcept C203223496 @default.
- W4226400038 hasConcept C2776214188 @default.
- W4226400038 hasConcept C33923547 @default.
- W4226400038 hasConcept C37616216 @default.
- W4226400038 hasConcept C41008148 @default.
- W4226400038 hasConcept C83546350 @default.
- W4226400038 hasConceptScore W4226400038C102366305 @default.
- W4226400038 hasConceptScore W4226400038C105795698 @default.
- W4226400038 hasConceptScore W4226400038C119857082 @default.
- W4226400038 hasConceptScore W4226400038C136764020 @default.
- W4226400038 hasConceptScore W4226400038C144237770 @default.
- W4226400038 hasConceptScore W4226400038C148220186 @default.
- W4226400038 hasConceptScore W4226400038C148483581 @default.
- W4226400038 hasConceptScore W4226400038C149782125 @default.
- W4226400038 hasConceptScore W4226400038C154945302 @default.
- W4226400038 hasConceptScore W4226400038C158600405 @default.
- W4226400038 hasConceptScore W4226400038C162144332 @default.
- W4226400038 hasConceptScore W4226400038C163175372 @default.
- W4226400038 hasConceptScore W4226400038C185429906 @default.
- W4226400038 hasConceptScore W4226400038C203223496 @default.
- W4226400038 hasConceptScore W4226400038C2776214188 @default.
- W4226400038 hasConceptScore W4226400038C33923547 @default.
- W4226400038 hasConceptScore W4226400038C37616216 @default.
- W4226400038 hasConceptScore W4226400038C41008148 @default.
- W4226400038 hasConceptScore W4226400038C83546350 @default.
- W4226400038 hasLocation W42264000381 @default.
- W4226400038 hasOpenAccess W4226400038 @default.
- W4226400038 hasPrimaryLocation W42264000381 @default.
- W4226400038 hasRelatedWork W2143975970 @default.
- W4226400038 hasRelatedWork W2301199057 @default.
- W4226400038 hasRelatedWork W2949919985 @default.
- W4226400038 hasRelatedWork W3044756081 @default.
- W4226400038 hasRelatedWork W3121360637 @default.
- W4226400038 hasRelatedWork W3125285283 @default.
- W4226400038 hasRelatedWork W3144231725 @default.
- W4226400038 hasRelatedWork W4205554343 @default.
- W4226400038 hasRelatedWork W4226400038 @default.
- W4226400038 hasRelatedWork W4287705199 @default.
- W4226400038 isParatext "false" @default.
- W4226400038 isRetracted "false" @default.
- W4226400038 workType "article" @default.