Quantile regression with a change-point model for longitudinal data: An application to the study of cognitive changes in preclinical alzheimer's disease

DOI10.1111/biom.12313zbMath1419.62390OpenAlexW2102015455WikidataQ30936791 ScholiaQ30936791MaRDI QIDQ2803481

Rick Chappell, Chenxi Li, N. Maritza Dowling

Publication date: 4 May 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4575281

zbMATH Keywords

longitudinal dataquantile regressionAlzheimer's diseasedisease progressioncognitive agingchange-point model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items (5)

Bayesian bent line quantile regression model ⋮ Composite quantile estimation for kink model with longitudinal data ⋮ Multikink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis ⋮ A threshold longitudinal Tobit quantile regression model for identification of treatment‐sensitive subgroups based on interval‐bounded longitudinal measurements and a continuous covariate ⋮ Real time change-point detection in a nonlinear quantile model

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