Generalized growth curve models for longitudinal data in application to a randomized controlled trial

DOI10.1016/j.jkss.2018.08.003zbMath1411.62312OpenAlexW2889478009MaRDI QIDQ1726160

Hyunkeun Ryan Cho, Nichole Andrews

Publication date: 19 February 2019

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2018.08.003

zbMATH Keywords

hypothesis testgrowth curve modelquadratic inference functionmultiple treatmentsbiomedical studieslongitudinal datasetlongitudinal trajectorymultigroup comparisonsparsimonious model selection

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) General nonlinear regression (62J02) Paired and multiple comparisons; multiple testing (62J15)

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Cites Work

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• Longitudinal data analysis using generalized linear models
• Improving generalised estimating equations using quadratic inference functions
• Estimating the dimension of a model
• A generalization of the growth curve model which allows missing data
• Consistent Model Selection and Data-Driven Smooth Tests for Longitudinal Data in the Estimating Equations Approach
• Building Adaptive Estimating Equations When Inverse of Covariance Estimation is Difficult
• Tuning parameter selectors for the smoothly clipped absolute deviation method
• A generalized multivariate analysis of variance model useful especially for growth curve problems

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