FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017816452> ?p ?o ?g. }

• W2017816452 endingPage "1158" @default.
• W2017816452 startingPage "1145" @default.
• W2017816452 abstract "In a nonrandomized or observational study, a weak association between receipt of the treatment and an outcome may be explained not as effects caused by the treatment but rather by a small bias in the assignment of individuals to treatment or control; however, a strong association may be explained as noncausal only by a large bias. The strength of the association between treatment and outcome is not uniform across the data from a study, and this motivates giving greater weight where the association is stronger. In an observational study with treated-control matched pairs, it is known that results are less sensitive to unmeasured biases if pairs with small absolute differences in outcomes are given little weight in the analysis; more precisely, such a test statistic has superior design sensitivity. How should outcomes be weighted if an observational study is matched in sets with one treated subject and several controls? An M-statistic is the quantity equated to zero in defining Huber’s M-estimates, including the mean, and it is used in testing hypotheses and setting confidence limits. In matched sets, a weighted M-statistic increases the weight of some matched sets and decreases the weight of others. Not unlike the case of matched pairs, weighted M-statistics with suitable weights have larger design sensitivities, and hence greater power in a sensitivity analysis, than unweighted statistics for symmetric unimodal errors, such as Normal, logistic, or t-distributed errors. This issue is examined using an asymptotic measure, the design sensitivity, and using simulation. For one Normal sampling situation, weighting the matched sets increased the power of a 0.05 level sensitivity analysis from 0.05 without weights to 0.75 with weights. An example from NHANES 2009–2010 concerning methylmercury in the blood of people who consume large amounts of fish is used to illustrate." @default.
• W2017816452 created "2016-06-24" @default.
• W2017816452 creator A5067324209 @default.
• W2017816452 date "2014-07-03" @default.
• W2017816452 modified "2023-10-01" @default.
• W2017816452 title "Weighted <i>M</i>-statistics With Superior Design Sensitivity in Matched Observational Studies With Multiple Controls" @default.
• W2017816452 cites W1506450636 @default.
• W2017816452 cites W1968333567 @default.
• W2017816452 cites W1969392589 @default.
• W2017816452 cites W1970076164 @default.
• W2017816452 cites W1974010676 @default.
• W2017816452 cites W1988110689 @default.
• W2017816452 cites W1994842499 @default.
• W2017816452 cites W2003504151 @default.
• W2017816452 cites W2006596133 @default.
• W2017816452 cites W2008683465 @default.
• W2017816452 cites W2012904560 @default.
• W2017816452 cites W2014766567 @default.
• W2017816452 cites W2019307140 @default.
• W2017816452 cites W2028902565 @default.
• W2017816452 cites W2030456831 @default.
• W2017816452 cites W2046033161 @default.
• W2017816452 cites W2046776551 @default.
• W2017816452 cites W2056531506 @default.
• W2017816452 cites W2072509694 @default.
• W2017816452 cites W2075545739 @default.
• W2017816452 cites W2080716821 @default.
• W2017816452 cites W2091628208 @default.
• W2017816452 cites W2107792561 @default.
• W2017816452 cites W2111940352 @default.
• W2017816452 cites W2123706163 @default.
• W2017816452 cites W2129618217 @default.
• W2017816452 cites W2132917208 @default.
• W2017816452 cites W2140235372 @default.
• W2017816452 cites W2155163959 @default.
• W2017816452 cites W2155179664 @default.
• W2017816452 cites W2157499347 @default.
• W2017816452 cites W2170245886 @default.
• W2017816452 cites W2323959257 @default.
• W2017816452 cites W2333571283 @default.
• W2017816452 cites W2797333853 @default.
• W2017816452 cites W43153312 @default.
• W2017816452 doi "https://doi.org/10.1080/01621459.2013.879261" @default.
• W2017816452 hasPublicationYear "2014" @default.
• W2017816452 type Work @default.
• W2017816452 sameAs 2017816452 @default.
• W2017816452 citedByCount "24" @default.
• W2017816452 countsByYear W20178164522015 @default.
• W2017816452 countsByYear W20178164522016 @default.
• W2017816452 countsByYear W20178164522017 @default.
• W2017816452 countsByYear W20178164522018 @default.
• W2017816452 countsByYear W20178164522019 @default.
• W2017816452 countsByYear W20178164522020 @default.
• W2017816452 countsByYear W20178164522021 @default.
• W2017816452 countsByYear W20178164522022 @default.
• W2017816452 countsByYear W20178164522023 @default.
• W2017816452 crossrefType "journal-article" @default.
• W2017816452 hasAuthorship W2017816452A5067324209 @default.
• W2017816452 hasConcept C105795698 @default.
• W2017816452 hasConcept C127413603 @default.
• W2017816452 hasConcept C144237770 @default.
• W2017816452 hasConcept C148220186 @default.
• W2017816452 hasConcept C149782125 @default.
• W2017816452 hasConcept C169857963 @default.
• W2017816452 hasConcept C21200559 @default.
• W2017816452 hasConcept C23131810 @default.
• W2017816452 hasConcept C24326235 @default.
• W2017816452 hasConcept C33923547 @default.
• W2017816452 hasConcept C40696583 @default.
• W2017816452 hasConcept C44249647 @default.
• W2017816452 hasConcept C87007009 @default.
• W2017816452 hasConcept C89128539 @default.
• W2017816452 hasConceptScore W2017816452C105795698 @default.
• W2017816452 hasConceptScore W2017816452C127413603 @default.
• W2017816452 hasConceptScore W2017816452C144237770 @default.
• W2017816452 hasConceptScore W2017816452C148220186 @default.
• W2017816452 hasConceptScore W2017816452C149782125 @default.
• W2017816452 hasConceptScore W2017816452C169857963 @default.
• W2017816452 hasConceptScore W2017816452C21200559 @default.
• W2017816452 hasConceptScore W2017816452C23131810 @default.
• W2017816452 hasConceptScore W2017816452C24326235 @default.
• W2017816452 hasConceptScore W2017816452C33923547 @default.
• W2017816452 hasConceptScore W2017816452C40696583 @default.
• W2017816452 hasConceptScore W2017816452C44249647 @default.
• W2017816452 hasConceptScore W2017816452C87007009 @default.
• W2017816452 hasConceptScore W2017816452C89128539 @default.
• W2017816452 hasIssue "507" @default.
• W2017816452 hasLocation W20178164521 @default.
• W2017816452 hasOpenAccess W2017816452 @default.
• W2017816452 hasPrimaryLocation W20178164521 @default.
• W2017816452 hasRelatedWork W1965994320 @default.
• W2017816452 hasRelatedWork W1972009724 @default.
• W2017816452 hasRelatedWork W1974030868 @default.
• W2017816452 hasRelatedWork W2057236131 @default.
• W2017816452 hasRelatedWork W2139745470 @default.
• W2017816452 hasRelatedWork W2314762346 @default.
• W2017816452 hasRelatedWork W2899480831 @default.
• W2017816452 hasRelatedWork W2971993427 @default.

• next