Identifying latent clusters of variability in longitudinal data

DOI10.1093/biostatistics/kxm003zbMath1267.62058OpenAlexW2153600558WikidataQ31096749 ScholiaQ31096749MaRDI QIDQ2838992

Michael R. Elliott

Publication date: 4 July 2013

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxm003

zbMATH Keywords

heteroscedasticitycubic splinesvariance functionnonparametric regressionlongitudinal profiles

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (3)

Joint modeling of cross‐sectional health outcomes and longitudinal predictors via mixtures of means and variances ⋮ Semiparametric regression during 2003--2007 ⋮ FPCA-based method to select optimal sampling schedules that capture between-subject variability in longitudinal studies

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