Matches in SemOpenAlex for { <https://semopenalex.org/work/W2321933356> ?p ?o ?g. }
Showing items 1 to 55 of
55
with 100 items per page.
- W2321933356 endingPage "60" @default.
- W2321933356 startingPage "651" @default.
- W2321933356 abstract "When a treatment influences both the primary response and the covariate, a standard analysis of covariance may misrepresent the real treatment effect by adjusting out that part of the effect which is manifest in the covariate. What parametric function should we examine if the treatments influence the covariate? An informative analysis would let the complete effects of the levels emerge, yet permit the effects to be adjusted to some standard conditions. To satisfy these requirements when the treatments have only one factor, treatment means should be adjusted to covariate values determined externally from the data. If instead the treatment structure has at least two factors, say columns and rows, which, respectively, affect and do not affect the covariate, an interpretable adjustment procedure would involve the response means in each column being adjusted to the column mean of the covariate. This change alters the computations of covariance, so the proposed analysis cannot easily be accommodated by widely-available computer packages. An example concerns beef cattle from various herds which are fed several diets. Herds influence initial weight, which is the covariate, but diets cannot affect the covariate." @default.
- W2321933356 created "2016-06-24" @default.
- W2321933356 creator A5076540619 @default.
- W2321933356 date "1982-09-01" @default.
- W2321933356 modified "2023-09-23" @default.
- W2321933356 title "Adjustment in covariance when one factor affects the covariate." @default.
- W2321933356 cites W1533179050 @default.
- W2321933356 cites W2317782077 @default.
- W2321933356 cites W2320008359 @default.
- W2321933356 cites W2325827597 @default.
- W2321933356 cites W2328836165 @default.
- W2321933356 cites W2798510847 @default.
- W2321933356 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/7171693" @default.
- W2321933356 hasPublicationYear "1982" @default.
- W2321933356 type Work @default.
- W2321933356 sameAs 2321933356 @default.
- W2321933356 citedByCount "11" @default.
- W2321933356 countsByYear W23219333562020 @default.
- W2321933356 crossrefType "journal-article" @default.
- W2321933356 hasAuthorship W2321933356A5076540619 @default.
- W2321933356 hasConcept C105795698 @default.
- W2321933356 hasConcept C117251300 @default.
- W2321933356 hasConcept C119043178 @default.
- W2321933356 hasConcept C119340705 @default.
- W2321933356 hasConcept C149782125 @default.
- W2321933356 hasConcept C178650346 @default.
- W2321933356 hasConcept C33923547 @default.
- W2321933356 hasConceptScore W2321933356C105795698 @default.
- W2321933356 hasConceptScore W2321933356C117251300 @default.
- W2321933356 hasConceptScore W2321933356C119043178 @default.
- W2321933356 hasConceptScore W2321933356C119340705 @default.
- W2321933356 hasConceptScore W2321933356C149782125 @default.
- W2321933356 hasConceptScore W2321933356C178650346 @default.
- W2321933356 hasConceptScore W2321933356C33923547 @default.
- W2321933356 hasIssue "3" @default.
- W2321933356 hasLocation W23219333561 @default.
- W2321933356 hasOpenAccess W2321933356 @default.
- W2321933356 hasPrimaryLocation W23219333561 @default.
- W2321933356 hasRelatedWork W1978425987 @default.
- W2321933356 hasRelatedWork W2019409453 @default.
- W2321933356 hasRelatedWork W2022232878 @default.
- W2321933356 hasRelatedWork W2034726400 @default.
- W2321933356 hasRelatedWork W2048565528 @default.
- W2321933356 hasRelatedWork W2052172806 @default.
- W2321933356 hasRelatedWork W2053970827 @default.
- W2321933356 hasRelatedWork W2090847896 @default.
- W2321933356 hasRelatedWork W2186095101 @default.
- W2321933356 hasRelatedWork W4282943633 @default.
- W2321933356 hasVolume "38" @default.
- W2321933356 isParatext "false" @default.
- W2321933356 isRetracted "false" @default.
- W2321933356 magId "2321933356" @default.
- W2321933356 workType "article" @default.