Latent factor regression models for grouped outcomes.
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ABSTRACT:
SUBMITTER: Woodard DB
PROVIDER: S-EPMC4171058 | biostudies-literature | 2013 Sep
REPOSITORIES: biostudies-literature
Publications
Latent factor regression models for grouped outcomes.
Woodard D B DB Love T M T TM Thurston S W SW Ruppert D D Sathyanarayana S S Swan S H SH
Biometrics 20130711 3
We consider regression models for multiple correlated outcomes, where the outcomes are nested in domains. We show that random effect models for this nested situation fit into a standard factor model framework, which leads us to view the modeling options as a spectrum between parsimonious random effect multiple outcomes models and more general continuous latent factor models. We introduce a set of identifiable models along this spectrum that extend an existing random effect model for multiple out ...[more]
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