Analyzing panel count data with a dependent observation process and a terminal event
DOI10.1002/CJS.11143zbMath1273.62079OpenAlexW2024337010MaRDI QIDQ2852559
Jianguo Sun, Hui Zhao, Yang Li
Publication date: 9 October 2013
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/cjs.11143
estimating equationsinformative observation processsemiparametric transformation modelterminal events
Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)
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Cites Work
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- Joint Modeling and Analysis of Longitudinal Data with Informative Observation Times
- Two likelihood-based semiparametric estimation methods for panel count data with covariates
- Nonparametric inference based on panel count data
- Inference for the positive stable laws based on a special quadratic distance
- Semiparametric analysis of panel count data with correlated observation and follow-up times
- Two estimators of the mean of a counting process with panel count data.
- Weak convergence and empirical processes. With applications to statistics
- The statistical analysis of recurrent events.
- A semiparametric additive rate model for recurrent events with an informative terminal event
- Analysing panel count data with informative observation times
- Semiparametric Transformation Models with Time-Varying Coefficients for Recurrent and Terminal Events
- Shared Frailty Models for Recurrent Events and a Terminal Event
- Analysis of Longitudinal Data in the Presence of Informative Observational Times and a Dependent Terminal Event, with Application to Medical Cost Data
- Checking the Cox model with cumulative sums of martingale-based residuals
- Semiparametric Transformation Models for Point Processes
- Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
- A semiparametric pseudolikelihood estimation method for panel count data
- Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data
- Inferences for a semiparametric model with panel data
- Semiparametric Analysis of Correlated Recurrent and Terminal Events
- Semiparametric Regression Analysis of Longitudinal Data With Informative Observation Times
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