Time-Varying Functional Regression for Predicting Remaining Lifetime Distributions from Longitudinal Trajectories

DOI10.1111/j.1541-0420.2005.00378.xzbMath1087.62129OpenAlexW2150396615WikidataQ36915155 ScholiaQ36915155MaRDI QIDQ3379262

Ying Zhang, Hans-Georg Müller

Publication date: 6 April 2006

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2556296

zbMATH Keywords

longitudinal datadimension reductionprediction intervalquantile estimationconditional distributionfunctional data analysisvarying coefficient modelevent history analysisfunctional principal componentsageing biodemography

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

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Cites Work

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• Survival analysis. Techniques for censored and truncated data
• Functional data analysis
• Nonparametric quasi-likelihood
• Generalized functional linear models
• Shrinkage Estimation for Functional Principal Component Scores with Application to the Population Kinetics of Plasma Folate
• Specifications and an implementation of the type-ambiguity problem in pascal
• Local Linear Quantile Regression
• The historical functional linear model
• Testing Hypotheses in the Functional Linear Model
• Order-Preserving Nonparametric Regression, With Applications to Conditional Distribution and Quantile Function Estimation
• Quasi-Likelihood Regression with Unknown Link and Variance Functions
• Nonparametric Regression Analysis of Longitudinal Data
• Efficient Estimation and Inferences for Varying-Coefficient Models
• Generalized Linear Models with Functional Predictors
• Principal Modes of Variation for Processes with Continuous Sample Curves
• Nonparametric Varying-Coefficient Models for the Analysis of Longitudinal Data
• Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDS
• Hazard Rate Estimation under Random Censoring with Varying Kernels and Bandwidths
• Functional Modelling and Classification of Longitudinal Data*