This chapter addresses three major statistical approaches to longitudinal data analysis relevant to randomized controlled trials (RCTs): analysis of variance models (ANOVAs), latent growth models (LGMs), and hierarchical linear models (HLMs), or their generalization, hierarchical models (HMs). It also describes some use of nonlinear generalized additive models (GAMs).
Tracy E. Costigan合作论文数3
Kimberly Kendziora合作论文数2Robert Mailhammer合作论文数School of Humanities and Communication Arts, University of Western Sydney/ MARCS Institute, University of Western Sydney1Shrikant Bangdiwala合作论文数1
Søren Wichmann合作论文数Max-Planck-Institute for Evolutionary Anthropology;Kiel University1Dmitry Egorov合作论文数1
Johann-Mattis List合作论文数List's Linguistic Laboratory, University of Passau;Independent Research Group, Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology1Oleg Belyaev合作论文数1Eric W. Holman合作论文数University of California1
Harald Hammarström合作论文数Department of Linguistics and Philology, Faculty of Languages, Uppsala University1Viveka Velupillai合作论文数1Carolyn J Fowler合作论文数1
