Inference of a time-varying coefficient regression model for multivariate panel count data

DOI10.1016/J.JMVA.2022.105047OpenAlexW4281773775MaRDI QIDQ2079601

Jianguo Sun, Yuanyuan Guo, Dayu Sun

Publication date: 30 September 2022

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2022.105047

zbMATH Keywords

B-splinestime-varying coefficientsestimating equationmarginal mean modelmultivariate panel count data

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12)

Cites Work

• Unnamed Item
• Two likelihood-based semiparametric estimation methods for panel count data with covariates
• Statistical analysis of panel count data
• Regression analysis of multivariate panel count data with an informative observation process
• Weak convergence and empirical processes. With applications to statistics
• Semiparametric latent-class models for multivariate longitudinal and survival data
• Semiparametric partially linear varying coefficient models with panel count data
• Semiparametric transformation models for multivariate panel count data with dependent observation process
• Regression analysis of multivariate panel count data
• Regression Parameter Estimation from Panel Counts
• Semiparametric Estimation Methods for Panel Count Data Using MonotoneB-Splines
• Semiparametric analysis of multivariate panel count data with dependent observation processes and a terminal event
• A nonparametric time-varying coefficient model for panel count data

This page was built for publication: Inference of a time-varying coefficient regression model for multivariate panel count data