Spline-based semiparametric projected generalized estimating equation method for panel count data

DOI10.1093/biostatistics/kxr028zbMath1244.62057OpenAlexW2110146812WikidataQ34021524 ScholiaQ34021524MaRDI QIDQ2903319

Ying Zhang, Lei Hua

Publication date: 8 August 2012

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxr028

zbMATH Keywords

semiparametric modeloverdispersioncounting processmonotone B-splines

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (10)

Semiparametric partially linear varying coefficient models with panel count data ⋮ Bayesian Inferences for Panel Count Data and Interval-Censored Data with Nonparametric Modeling of the Baseline Functions ⋮ Semiparametric regression analysis of panel count data allowing for within-subject correlation ⋮ Efficient estimation of quasi-likelihood models using \(B\)-splines ⋮ Weighted Rank Estimation for Random-Effects Monotonic Index Models With Panel Count Data ⋮ Sieve estimation of semiparametric accelerated mean models with panel count data ⋮ Semiparametric Regression Analysis of Panel Count Data: A Practical Review ⋮ A spline‐based semiparametric sieve likelihood method for over‐dispersed panel count data ⋮ Quantile regression for panel count data based on quadratic inference functions ⋮ A Bayesian approach for semiparametric regression analysis of panel count data

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