Matches in SemOpenAlex for { <https://semopenalex.org/work/W2799500684> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2799500684 endingPage "169" @default.
- W2799500684 startingPage "164" @default.
- W2799500684 abstract "The goal of many observational studies is to estimate the causal effect of an exposure on an outcome after adjustment for confounders, but there are still some serious errors in adjusting confounders in clinical journals. Standard regression modeling (e.g., ordinary logistic regression) fails to estimate the average effect of exposure in total population in the presence of interaction between exposure and covariates, and also cannot adjust for time-varying confounding appropriately. Moreover, stepwise algorithms of the selection of confounders based on P values may miss important confounders and lead to bias in effect estimates. Causal methods overcome these limitations. We illustrate three causal methods including inverse-probability-of-treatment-weighting (IPTW) and parametric g-formula, with an emphasis on a clever combination of these 2 methods: targeted maximum likelihood estimation (TMLE) which enjoys a double-robust property against bias." @default.
- W2799500684 created "2018-05-17" @default.
- W2799500684 creator A5023683073 @default.
- W2799500684 creator A5072749931 @default.
- W2799500684 creator A5089088705 @default.
- W2799500684 date "2018-04-01" @default.
- W2799500684 modified "2023-10-18" @default.
- W2799500684 title "Causal Methods for Observational Research: A Primer." @default.
- W2799500684 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29693407" @default.
- W2799500684 hasPublicationYear "2018" @default.
- W2799500684 type Work @default.
- W2799500684 sameAs 2799500684 @default.
- W2799500684 citedByCount "9" @default.
- W2799500684 countsByYear W27995006842018 @default.
- W2799500684 countsByYear W27995006842020 @default.
- W2799500684 countsByYear W27995006842021 @default.
- W2799500684 countsByYear W27995006842022 @default.
- W2799500684 countsByYear W27995006842023 @default.
- W2799500684 crossrefType "journal-article" @default.
- W2799500684 hasAuthorship W2799500684A5023683073 @default.
- W2799500684 hasAuthorship W2799500684A5072749931 @default.
- W2799500684 hasAuthorship W2799500684A5089088705 @default.
- W2799500684 hasConcept C105795698 @default.
- W2799500684 hasConcept C107673813 @default.
- W2799500684 hasConcept C117251300 @default.
- W2799500684 hasConcept C119043178 @default.
- W2799500684 hasConcept C126838900 @default.
- W2799500684 hasConcept C149782125 @default.
- W2799500684 hasConcept C151956035 @default.
- W2799500684 hasConcept C158600405 @default.
- W2799500684 hasConcept C17923572 @default.
- W2799500684 hasConcept C183115368 @default.
- W2799500684 hasConcept C23131810 @default.
- W2799500684 hasConcept C26831200 @default.
- W2799500684 hasConcept C2779915747 @default.
- W2799500684 hasConcept C2908647359 @default.
- W2799500684 hasConcept C33923547 @default.
- W2799500684 hasConcept C35981017 @default.
- W2799500684 hasConcept C41008148 @default.
- W2799500684 hasConcept C57830394 @default.
- W2799500684 hasConcept C71924100 @default.
- W2799500684 hasConcept C77350462 @default.
- W2799500684 hasConcept C99454951 @default.
- W2799500684 hasConceptScore W2799500684C105795698 @default.
- W2799500684 hasConceptScore W2799500684C107673813 @default.
- W2799500684 hasConceptScore W2799500684C117251300 @default.
- W2799500684 hasConceptScore W2799500684C119043178 @default.
- W2799500684 hasConceptScore W2799500684C126838900 @default.
- W2799500684 hasConceptScore W2799500684C149782125 @default.
- W2799500684 hasConceptScore W2799500684C151956035 @default.
- W2799500684 hasConceptScore W2799500684C158600405 @default.
- W2799500684 hasConceptScore W2799500684C17923572 @default.
- W2799500684 hasConceptScore W2799500684C183115368 @default.
- W2799500684 hasConceptScore W2799500684C23131810 @default.
- W2799500684 hasConceptScore W2799500684C26831200 @default.
- W2799500684 hasConceptScore W2799500684C2779915747 @default.
- W2799500684 hasConceptScore W2799500684C2908647359 @default.
- W2799500684 hasConceptScore W2799500684C33923547 @default.
- W2799500684 hasConceptScore W2799500684C35981017 @default.
- W2799500684 hasConceptScore W2799500684C41008148 @default.
- W2799500684 hasConceptScore W2799500684C57830394 @default.
- W2799500684 hasConceptScore W2799500684C71924100 @default.
- W2799500684 hasConceptScore W2799500684C77350462 @default.
- W2799500684 hasConceptScore W2799500684C99454951 @default.
- W2799500684 hasIssue "4" @default.
- W2799500684 hasLocation W27995006841 @default.
- W2799500684 hasOpenAccess W2799500684 @default.
- W2799500684 hasPrimaryLocation W27995006841 @default.
- W2799500684 hasRelatedWork W1167223303 @default.
- W2799500684 hasRelatedWork W2110818436 @default.
- W2799500684 hasRelatedWork W2168639902 @default.
- W2799500684 hasRelatedWork W2337449242 @default.
- W2799500684 hasRelatedWork W2346844326 @default.
- W2799500684 hasRelatedWork W2540939911 @default.
- W2799500684 hasRelatedWork W2799500684 @default.
- W2799500684 hasRelatedWork W2942416455 @default.
- W2799500684 hasRelatedWork W3205211596 @default.
- W2799500684 hasRelatedWork W4225141155 @default.
- W2799500684 hasVolume "21" @default.
- W2799500684 isParatext "false" @default.
- W2799500684 isRetracted "false" @default.
- W2799500684 magId "2799500684" @default.
- W2799500684 workType "article" @default.