Joint modeling of longitudinal drug using pattern and time to first relapse in cocaine dependence treatment data

DOI10.1214/15-AOAS852zbMath1400.62298arXiv1508.05412MaRDI QIDQ902936

Jun Ye, Yongtao Guan, Yehua Li

Publication date: 4 January 2016

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1508.05412

zbMATH Keywords

EM algorithminterval censoringAkaike information criterionMetropolis-Hastings algorithmpenalized splinesfunctional principal componentsgeneralized longitudinal data

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01)

Related Items (4)

Functional principal component analysis in age–period–cohort analysis of body mass index data by gender and ethnicity ⋮ Joint model for survival and multivariate sparse functional data with application to a study of Alzheimer's Disease ⋮ Classification of social media users with generalized functional data analysis ⋮ Joint modeling of longitudinal drug using pattern and time to first relapse in cocaine dependence treatment data

Uses Software

• fda (R)
• SemiPar

Cites Work

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