FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896736258> ?p ?o ?g. }

• W2896736258 endingPage "827" @default.
• W2896736258 startingPage "809" @default.
• W2896736258 abstract "In epidemiological studies of environmental pollutants in relation to human infertility, it is common that concentrations of a large number of exposures are collected in both male and female partners. Such a couple‐based study poses some new challenges in statistical analysis, especially when the effect of the totality of these chemical mixtures is of interest, because these exposures may have complex nonlinear and nonadditive relationships with the infertility outcome. Kernel machine regression, as a nonparametric regression method, can be applied to model such effects, while accounting for the highly correlated structure within and across exposures. However, it does not consider the partner‐specific structure in these study data, which may lead to suboptimal estimation for the effects of environmental exposures. To overcome this limitation, we developed a weighted kernel machine regression method (wKRM) to model the joint effect of partner‐specific exposures, in which a linear weight procedure is used to combine the female and male partners' exposure concentrations. The proposed wKRM is not only able to reduce the number of analyzed exposures but also provide an overall importance index of female and male partners' exposures in the risk of infertility. Simulation studies demonstrate good performance of the wKRM in both estimating the joint effects of exposures and fitting the infertility outcome. Application of the proposed method to a prospective infertility study suggests that the male partner's exposure to polychlorinated biphenyls might contribute more toward infertility than the female partner's." @default.
• W2896736258 created "2018-10-26" @default.
• W2896736258 creator A5002718933 @default.
• W2896736258 creator A5039008767 @default.
• W2896736258 creator A5070697660 @default.
• W2896736258 creator A5078901632 @default.
• W2896736258 date "2018-10-16" @default.
• W2896736258 modified "2023-10-16" @default.
• W2896736258 title "A weighted kernel machine regression approach to environmental pollutants and infertility" @default.
• W2896736258 cites W1529643479 @default.
• W2896736258 cites W1563088657 @default.
• W2896736258 cites W1937486608 @default.
• W2896736258 cites W1982585616 @default.
• W2896736258 cites W1993404516 @default.
• W2896736258 cites W2011808237 @default.
• W2896736258 cites W2015904350 @default.
• W2896736258 cites W2025174482 @default.
• W2896736258 cites W2064273032 @default.
• W2896736258 cites W2071651860 @default.
• W2896736258 cites W2072986941 @default.
• W2896736258 cites W2074677689 @default.
• W2896736258 cites W2077836840 @default.
• W2896736258 cites W2106224369 @default.
• W2896736258 cites W2108299701 @default.
• W2896736258 cites W2114776556 @default.
• W2896736258 cites W2122617678 @default.
• W2896736258 cites W2136582936 @default.
• W2896736258 cites W2164143816 @default.
• W2896736258 cites W2192431785 @default.
• W2896736258 cites W2319809145 @default.
• W2896736258 cites W2321635716 @default.
• W2896736258 cites W2418213157 @default.
• W2896736258 cites W4211101039 @default.
• W2896736258 cites W4244611409 @default.
• W2896736258 cites W4292310542 @default.
• W2896736258 doi "https://doi.org/10.1002/sim.8003" @default.
• W2896736258 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30328128" @default.
• W2896736258 hasPublicationYear "2018" @default.
• W2896736258 type Work @default.
• W2896736258 sameAs 2896736258 @default.
• W2896736258 citedByCount "2" @default.
• W2896736258 countsByYear W28967362582020 @default.
• W2896736258 countsByYear W28967362582021 @default.
• W2896736258 crossrefType "journal-article" @default.
• W2896736258 hasAuthorship W2896736258A5002718933 @default.
• W2896736258 hasAuthorship W2896736258A5039008767 @default.
• W2896736258 hasAuthorship W2896736258A5070697660 @default.
• W2896736258 hasAuthorship W2896736258A5078901632 @default.
• W2896736258 hasConcept C102366305 @default.
• W2896736258 hasConcept C105795698 @default.
• W2896736258 hasConcept C114614502 @default.
• W2896736258 hasConcept C149782125 @default.
• W2896736258 hasConcept C152877465 @default.
• W2896736258 hasConcept C200695384 @default.
• W2896736258 hasConcept C2777338322 @default.
• W2896736258 hasConcept C2777688143 @default.
• W2896736258 hasConcept C2779234561 @default.
• W2896736258 hasConcept C2779647306 @default.
• W2896736258 hasConcept C33923547 @default.
• W2896736258 hasConcept C48921125 @default.
• W2896736258 hasConcept C54355233 @default.
• W2896736258 hasConcept C71924100 @default.
• W2896736258 hasConcept C74193536 @default.
• W2896736258 hasConcept C83546350 @default.
• W2896736258 hasConcept C86803240 @default.
• W2896736258 hasConcept C99454951 @default.
• W2896736258 hasConceptScore W2896736258C102366305 @default.
• W2896736258 hasConceptScore W2896736258C105795698 @default.
• W2896736258 hasConceptScore W2896736258C114614502 @default.
• W2896736258 hasConceptScore W2896736258C149782125 @default.
• W2896736258 hasConceptScore W2896736258C152877465 @default.
• W2896736258 hasConceptScore W2896736258C200695384 @default.
• W2896736258 hasConceptScore W2896736258C2777338322 @default.
• W2896736258 hasConceptScore W2896736258C2777688143 @default.
• W2896736258 hasConceptScore W2896736258C2779234561 @default.
• W2896736258 hasConceptScore W2896736258C2779647306 @default.
• W2896736258 hasConceptScore W2896736258C33923547 @default.
• W2896736258 hasConceptScore W2896736258C48921125 @default.
• W2896736258 hasConceptScore W2896736258C54355233 @default.
• W2896736258 hasConceptScore W2896736258C71924100 @default.
• W2896736258 hasConceptScore W2896736258C74193536 @default.
• W2896736258 hasConceptScore W2896736258C83546350 @default.
• W2896736258 hasConceptScore W2896736258C86803240 @default.
• W2896736258 hasConceptScore W2896736258C99454951 @default.
• W2896736258 hasFunder F4320337364 @default.
• W2896736258 hasIssue "5" @default.
• W2896736258 hasLocation W28967362581 @default.
• W2896736258 hasLocation W28967362582 @default.
• W2896736258 hasOpenAccess W2896736258 @default.
• W2896736258 hasPrimaryLocation W28967362581 @default.
• W2896736258 hasRelatedWork W1555242842 @default.
• W2896736258 hasRelatedWork W2018697919 @default.
• W2896736258 hasRelatedWork W2062105804 @default.
• W2896736258 hasRelatedWork W2375721435 @default.
• W2896736258 hasRelatedWork W247449116 @default.
• W2896736258 hasRelatedWork W3021457118 @default.
• W2896736258 hasRelatedWork W3122861356 @default.
• W2896736258 hasRelatedWork W4249094282 @default.

• next