A Semiparametric Model for the Analysis of Recurrent-Event Panel Data
From MaRDI portal
Publication:3078948
DOI10.1111/j.0006-341X.2002.00324.xzbMath1209.62254WikidataQ32135687 ScholiaQ32135687MaRDI QIDQ3078948
Publication date: 1 March 2011
Published in: Biometrics (Search for Journal in Brave)
longitudinal dataoverdispersionrandom effectsfrailtyPoisson processquasi-likelihoodmixed modellife history dataWeibull intensitymultiplicative intensityquasi-score test
Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Medical applications (general) (92C50) Estimation in survival analysis and censored data (62N02)
Related Items (4)
Regression splines in the quasi-likelihood analysis of recurrent event data ⋮ Clustered Mixed Nonhomogeneous Poisson Process Spline Models for the Analysis of Recurrent Event Panel Data ⋮ A Bayesian approach for semiparametric regression analysis of panel count data ⋮ Case study in data analysis: Variables related to codling moth abundance and the efficacy of the okanagan sterile insect release program
Cites Work
- Unnamed Item
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- Cox's regression model for counting processes: A large sample study
- Profile likelihood and conditionally parametric models
- Asymptotic relations between the likelihood estimating function and the maximum likelihood estimator
- Some Covariance Models for Longitudinal Count Data with Overdispersion
- Mixed Poisson Likelihood Regression Models for Longitudinal Interval Count Data
- Variance Function Estimation
- Regression Methods for Poisson Process Data
- Robust Tests for Treatment Comparisons Based on Recurrent Event Responses
- Efficiency Lost By Analyzing Counts Rather Than Event Times in Poisson and Overdispersed Poisson Regression Models
- Semiparametric Regression Analysis for Recurrent Event Interval Counts
- Semiparametric Regression Models for Repeated Events with Random Effects and Measurement Error
- A mixed poisson–inverse‐gaussian regression model
- Some Simple Robust Methods for the Analysis of Recurrent Events
- Maximum Likelihood Estimation of Misspecified Models
- Statistical models based on counting processes
This page was built for publication: A Semiparametric Model for the Analysis of Recurrent-Event Panel Data
