Constitution of random intercept and slope model (RISM) as a special case of linear mixed models (LMMs) for repeated measurements data

Iyit, NeslihanGenc, Asir2020-03-262020-03-2620110096-3003https://dx.doi.org/10.1016/j.amc.2011.03.061https://hdl.handle.net/20.500.12395/26278In this paper, for the aim of modeling variance-covariance structure matrix of the response variables vector in random intercept and slope model (RISM) from linear mixed models (LMMs) for repeated measurements data, 13 different homogeneous and heterogeneous variance-covariance structure models are investigated comparatively in an application from a clinical trial. (C) 2011 Elsevier Inc. All rights reserved.en10.1016/j.amc.2011.03.061info:eu-repo/semantics/closedAccessRepeated measurementLinear mixed modelRandom intercept and slope modelHomogeneous and heterogeneous variance-covariance structure modelsConstitution of random intercept and slope model (RISM) as a special case of linear mixed models (LMMs) for repeated measurements dataArticle2183827831Q1WOS:000294298400036Q1