Semiparametric regression analysis of panel count data allowing for within-subject correlation

DOI10.1016/j.csda.2015.11.017zbMath1468.62219OpenAlexW2192883563MaRDI QIDQ1659356

Bin Yao, Xin He, Lianming Wang

Publication date: 15 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2015.11.017

zbMATH Keywords

EM algorithmPoisson processpanel count datagamma frailtymonotone splines

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Non-Markovian processes: estimation (62M09)

Related Items (4)

Bayesian Inferences for Panel Count Data and Interval-Censored Data with Nonparametric Modeling of the Baseline Functions ⋮ Semiparametric Regression Analysis of Panel Count Data: A Practical Review ⋮ Quantile regression for panel count data based on quadratic inference functions ⋮ PCDSpline

Uses Software

• R
• CRAN

Cites Work

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