The Gamma‐Frailty Poisson Model for the Nonparametric Estimation of Panel Count Data

DOI10.1111/j.0006-341X.2003.00126.xzbMath1274.62262WikidataQ30906262 ScholiaQ30906262MaRDI QIDQ3433248

Mortaza Jamshidian, Ying Zhang

Publication date: 27 April 2007

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

EM algorithmisotonic regressionMonte-Carloiterative convex minorant algorithmnonparametric maximum pseudo-likelihood estimator

Mathematics Subject Classification ID

Nonparametric estimation (62G05)

Related Items (12)

Robust estimation for panel count data with informative observation times ⋮ 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 ⋮ Nonparametric inference for reversed mean models with panel count data ⋮ Semiparametric regression analysis of panel count data with informative observation times ⋮ Efficient algorithms for computing the non and semi-parametric maximum likelihood estimates with panel count data ⋮ A Bivariate Mover–Stayer Model for Interval-Censored Recurrent Event Data: Application to Joint Damage in Rheumatology ⋮ Regression Analysis of Doubly Censored Failure Time Data with Frailty ⋮ Analysis of Panel Count Data with Dependent Observation Times ⋮ Nonparametric inference for panel count data with competing risks ⋮ Nonparametric inference based on panel count data

Cites Work

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• Data. A collection of problems from many fields for the student and research worker
• A Note on parameter and standard error estimation in adaptive robust regression
• Using frailties in the accelerated failure time model

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