Matches in SemOpenAlex for { <https://semopenalex.org/work/W2001603349> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2001603349 endingPage "87" @default.
- W2001603349 startingPage "69" @default.
- W2001603349 abstract "Recent advances in methods for analysis of longitudinal data arid incomplete repeated measures have been in the area of maximum likelihood (ML) and restricted maximum likelihood (REML) methods (e.g., Laird and Ware, 1982 Biometrics, Jennrich and Schluchter, 1986 Biometrics). This paper outlines the ML and REML approaches to the analysis of incomplete repeated measures data and growth curves, and then examines methods for small-sample adjustment of asymptotic Wald-type chi-square tests constructed from ML and REML estimates under four different assumed covariance structures. These adjustments involve transformation of the Wald Ghi-square statistic to an approximate F-statistic. In certain cases when data are complete and balanced, the transformed test statistics have exact F-distribution under the null hypothesis. The first three covariance structures: (1) Compound Symmetry, (2) First-Order Autoregressive, and (3) Multivariate (unstructured), are examined in the context of the analysis of a repeated measures d sign having a single between-subjects factor and a single within-subjects factor. The fourth model, which implies a special type of covariance structure, is a Linear Random Effects Growth Curve Model. For each covariance structure model, we review known exact results both for the case of balanced and unbalanced data. We then examine the type I error rates of the various tests via a small simulation study. It is shown that the most appropriate type of small-sample correction depends upon the form of the assumed covariance structure, whether ML or REML procedures are used, and whether the test is a ‘between groups' or ‘within-subject' test. The results emphasize the importance of applying a correction to the asymptotic tests in small samples." @default.
- W2001603349 created "2016-06-24" @default.
- W2001603349 creator A5020339486 @default.
- W2001603349 creator A5069328507 @default.
- W2001603349 date "1990-10-01" @default.
- W2001603349 modified "2023-10-18" @default.
- W2001603349 title "Small-sample adjustments to tests with unbalanced repeated measures assuming several covariance structures" @default.
- W2001603349 cites W155473371 @default.
- W2001603349 cites W1982126198 @default.
- W2001603349 cites W1982154608 @default.
- W2001603349 cites W2012551780 @default.
- W2001603349 cites W2022702753 @default.
- W2001603349 cites W2064279221 @default.
- W2001603349 cites W2075384682 @default.
- W2001603349 cites W2082246284 @default.
- W2001603349 cites W2115763689 @default.
- W2001603349 cites W2322586430 @default.
- W2001603349 cites W2324191961 @default.
- W2001603349 cites W4241524287 @default.
- W2001603349 cites W4252920614 @default.
- W2001603349 cites W4300470191 @default.
- W2001603349 doi "https://doi.org/10.1080/00949659008811295" @default.
- W2001603349 hasPublicationYear "1990" @default.
- W2001603349 type Work @default.
- W2001603349 sameAs 2001603349 @default.
- W2001603349 citedByCount "101" @default.
- W2001603349 countsByYear W20016033492012 @default.
- W2001603349 countsByYear W20016033492013 @default.
- W2001603349 countsByYear W20016033492014 @default.
- W2001603349 countsByYear W20016033492015 @default.
- W2001603349 countsByYear W20016033492016 @default.
- W2001603349 countsByYear W20016033492017 @default.
- W2001603349 countsByYear W20016033492018 @default.
- W2001603349 countsByYear W20016033492019 @default.
- W2001603349 countsByYear W20016033492020 @default.
- W2001603349 countsByYear W20016033492021 @default.
- W2001603349 countsByYear W20016033492022 @default.
- W2001603349 countsByYear W20016033492023 @default.
- W2001603349 crossrefType "journal-article" @default.
- W2001603349 hasAuthorship W2001603349A5020339486 @default.
- W2001603349 hasAuthorship W2001603349A5069328507 @default.
- W2001603349 hasConcept C105795698 @default.
- W2001603349 hasConcept C159877910 @default.
- W2001603349 hasConcept C169857963 @default.
- W2001603349 hasConcept C178650346 @default.
- W2001603349 hasConcept C203274628 @default.
- W2001603349 hasConcept C33923547 @default.
- W2001603349 hasConcept C49781872 @default.
- W2001603349 hasConcept C61420037 @default.
- W2001603349 hasConcept C87007009 @default.
- W2001603349 hasConcept C9483764 @default.
- W2001603349 hasConceptScore W2001603349C105795698 @default.
- W2001603349 hasConceptScore W2001603349C159877910 @default.
- W2001603349 hasConceptScore W2001603349C169857963 @default.
- W2001603349 hasConceptScore W2001603349C178650346 @default.
- W2001603349 hasConceptScore W2001603349C203274628 @default.
- W2001603349 hasConceptScore W2001603349C33923547 @default.
- W2001603349 hasConceptScore W2001603349C49781872 @default.
- W2001603349 hasConceptScore W2001603349C61420037 @default.
- W2001603349 hasConceptScore W2001603349C87007009 @default.
- W2001603349 hasConceptScore W2001603349C9483764 @default.
- W2001603349 hasIssue "1-2" @default.
- W2001603349 hasLocation W20016033491 @default.
- W2001603349 hasOpenAccess W2001603349 @default.
- W2001603349 hasPrimaryLocation W20016033491 @default.
- W2001603349 hasRelatedWork W1559388695 @default.
- W2001603349 hasRelatedWork W1972093502 @default.
- W2001603349 hasRelatedWork W2052185453 @default.
- W2001603349 hasRelatedWork W2069215735 @default.
- W2001603349 hasRelatedWork W2093700538 @default.
- W2001603349 hasRelatedWork W2159195662 @default.
- W2001603349 hasRelatedWork W2327580447 @default.
- W2001603349 hasRelatedWork W2374441430 @default.
- W2001603349 hasRelatedWork W3003095441 @default.
- W2001603349 hasRelatedWork W3044716326 @default.
- W2001603349 hasVolume "37" @default.
- W2001603349 isParatext "false" @default.
- W2001603349 isRetracted "false" @default.
- W2001603349 magId "2001603349" @default.
- W2001603349 workType "article" @default.