Modeling Longitudinal Data with Ordinal Response by Varying Coefficients

DOI10.1111/j.0006-341X.2000.00692.xzbMath1060.62513WikidataQ31808187 ScholiaQ31808187MaRDI QIDQ4670400

Göran Kauermann

Publication date: 22 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

smoothinglongitudinal datakernel regressionnonparametric regressiongeneralized estimating equationsordinal datavarying coefficient model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Related Items

Bayesian dynamic probit models for the analysis of longitudinal data, The analysis of ordered categorical data: An overview and a survey of recent developments. (With discussion), Nonparametric models and their estimation, Tree-based varying coefficient regression for longitudinal ordinal responses, Goodness-of-fit tests for modeling longitudinal ordinal data, Multivariate dynamic model for ordinal outcomes, A Signed-Rank Test for Clustered Data, Modeling individual migraine severity with autoregressive ordered probit models

Uses Software

• Fahrmeir

Cites Work

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• Longitudinal data analysis using generalized linear models
• Multivariate statistical modelling based on generalized linear models. With contributions by Wolfgang Hennevogl
• Correlated Binary Regression with Covariates Specific to Each Binary Observation
• Kernel Regression Estimation Using Repeated Measurements Data
• Local Estimating Equations
• Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
• Marginal Regression Models for Clustered Ordinal Measurements
• Nonparametric Function Estimation for Clustered Data When the Predictor is Measured without/with Error
• An Application of Isotonic Longitudinal Marginal Regression to Monitoring the Healing Process
• Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
• Informative Drop-Out in Longitudinal Data Analysis
• RATES OF CONVERGENCE IN SEMI‐PARAMETRIC MODELLING OF LONGITUDINAL DATA