Discriminant Analysis for Longitudinal Data with Multiple Continuous Responses and Possibly Missing Data

DOI10.1111/J.1541-0420.2008.01016.XzbMath1159.62337OpenAlexW2012403005WikidataQ31150522 ScholiaQ31150522MaRDI QIDQ3623741

Rolando De La Cruz-Mesía, Fernando A. Quintana, Guillermo Marshall, Anna E. Barón

Publication date: 23 April 2009

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10533/134896

zbMATH Keywords

missing datanonlinear mixed-effects modelsjoint modelingmultivariate responses

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (5)

A comparison of group prediction approaches in longitudinal discriminant analysis ⋮ Bayesian non-linear regression models with skew-elliptical errors: applications to the classification of longitudinal profiles ⋮ Mixture of multivariate \(t\) nonlinear mixed models for multiple longitudinal data with heterogeneity and missing values ⋮ Predictive classification of correlated targets with application to detection of metastatic cancer using functional CT imaging ⋮ Multivariatetlinear mixed models for irregularly observed multiple repeated measures with missing outcomes

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