Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309859196> ?p ?o ?g. }
- W4309859196 abstract "Abstract Analysts often estimate treatment effects in observational studies using propensity score matching techniques. When there are missing covariate values, analysts can multiply impute the missing data to create m completed data sets. Analysts can then estimate propensity scores on each of the completed data sets, and use these to estimate treatment effects. However, there has been relatively little attention on developing imputation models to deal with the additional problem of missing treatment indicators, perhaps due to the consequences of generating implausible imputations. However, simply ignoring the missing treatment values, akin to a complete case analysis, could also lead to problems when estimating treatment effects. We propose a latent class model to multiply impute missing treatment indicators. We illustrate its performance through simulations and with data taken from a study on determinants of children's cognitive development. This approach is seen to obtain treatment effect estimates closer to the true treatment effect than when employing conventional imputation procedures as well as compared to a complete case analysis." @default.
- W4309859196 created "2022-11-29" @default.
- W4309859196 creator A5046767689 @default.
- W4309859196 date "2022-11-23" @default.
- W4309859196 modified "2023-09-26" @default.
- W4309859196 title "A latent class model to multiply impute missing treatment indicators in observational studies when inferences of the treatment effect are made using propensity score matching" @default.
- W4309859196 cites W130037070 @default.
- W4309859196 cites W1577119245 @default.
- W4309859196 cites W1964475341 @default.
- W4309859196 cites W1980027106 @default.
- W4309859196 cites W1997344654 @default.
- W4309859196 cites W2002646960 @default.
- W4309859196 cites W2003618275 @default.
- W4309859196 cites W2004058573 @default.
- W4309859196 cites W2012315687 @default.
- W4309859196 cites W2024283207 @default.
- W4309859196 cites W2024788963 @default.
- W4309859196 cites W2029054775 @default.
- W4309859196 cites W2031902697 @default.
- W4309859196 cites W2034309896 @default.
- W4309859196 cites W2036194630 @default.
- W4309859196 cites W2045949527 @default.
- W4309859196 cites W2049519551 @default.
- W4309859196 cites W2057406433 @default.
- W4309859196 cites W2057483386 @default.
- W4309859196 cites W2064157768 @default.
- W4309859196 cites W2064569198 @default.
- W4309859196 cites W2067023747 @default.
- W4309859196 cites W2084416125 @default.
- W4309859196 cites W2096391232 @default.
- W4309859196 cites W2097660670 @default.
- W4309859196 cites W2107093862 @default.
- W4309859196 cites W2111078766 @default.
- W4309859196 cites W2112921023 @default.
- W4309859196 cites W2113559481 @default.
- W4309859196 cites W2115926546 @default.
- W4309859196 cites W2122527396 @default.
- W4309859196 cites W2126049444 @default.
- W4309859196 cites W2131850093 @default.
- W4309859196 cites W2134843796 @default.
- W4309859196 cites W2150291618 @default.
- W4309859196 cites W2154486547 @default.
- W4309859196 cites W2155163959 @default.
- W4309859196 cites W2168639902 @default.
- W4309859196 cites W2332652029 @default.
- W4309859196 cites W3011664558 @default.
- W4309859196 cites W3042395909 @default.
- W4309859196 cites W3097547541 @default.
- W4309859196 cites W3127371185 @default.
- W4309859196 cites W4239728164 @default.
- W4309859196 cites W4244207817 @default.
- W4309859196 cites W4300187280 @default.
- W4309859196 doi "https://doi.org/10.1002/bimj.202100284" @default.
- W4309859196 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36418159" @default.
- W4309859196 hasPublicationYear "2022" @default.
- W4309859196 type Work @default.
- W4309859196 citedByCount "0" @default.
- W4309859196 crossrefType "journal-article" @default.
- W4309859196 hasAuthorship W4309859196A5046767689 @default.
- W4309859196 hasBestOaLocation W43098591961 @default.
- W4309859196 hasConcept C105795698 @default.
- W4309859196 hasConcept C119043178 @default.
- W4309859196 hasConcept C149782125 @default.
- W4309859196 hasConcept C165064840 @default.
- W4309859196 hasConcept C17923572 @default.
- W4309859196 hasConcept C23131810 @default.
- W4309859196 hasConcept C33923547 @default.
- W4309859196 hasConcept C41008148 @default.
- W4309859196 hasConcept C58041806 @default.
- W4309859196 hasConcept C70727504 @default.
- W4309859196 hasConcept C89337504 @default.
- W4309859196 hasConcept C9357733 @default.
- W4309859196 hasConceptScore W4309859196C105795698 @default.
- W4309859196 hasConceptScore W4309859196C119043178 @default.
- W4309859196 hasConceptScore W4309859196C149782125 @default.
- W4309859196 hasConceptScore W4309859196C165064840 @default.
- W4309859196 hasConceptScore W4309859196C17923572 @default.
- W4309859196 hasConceptScore W4309859196C23131810 @default.
- W4309859196 hasConceptScore W4309859196C33923547 @default.
- W4309859196 hasConceptScore W4309859196C41008148 @default.
- W4309859196 hasConceptScore W4309859196C58041806 @default.
- W4309859196 hasConceptScore W4309859196C70727504 @default.
- W4309859196 hasConceptScore W4309859196C89337504 @default.
- W4309859196 hasConceptScore W4309859196C9357733 @default.
- W4309859196 hasIssue "3" @default.
- W4309859196 hasLocation W43098591961 @default.
- W4309859196 hasLocation W43098591962 @default.
- W4309859196 hasLocation W43098591963 @default.
- W4309859196 hasLocation W43098591964 @default.
- W4309859196 hasOpenAccess W4309859196 @default.
- W4309859196 hasPrimaryLocation W43098591961 @default.
- W4309859196 hasRelatedWork W174071147 @default.
- W4309859196 hasRelatedWork W2057406433 @default.
- W4309859196 hasRelatedWork W2064569198 @default.
- W4309859196 hasRelatedWork W2509191638 @default.
- W4309859196 hasRelatedWork W2896444124 @default.
- W4309859196 hasRelatedWork W2898114693 @default.
- W4309859196 hasRelatedWork W2937192392 @default.
- W4309859196 hasRelatedWork W4241752387 @default.
- W4309859196 hasRelatedWork W4309859196 @default.