Semiparametric proportional means model for marker data contingent on recurrent event
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Publication:746038
DOI10.1007/S10985-009-9146-0zbMath1322.62305OpenAlexW2064292224WikidataQ33518619 ScholiaQ33518619MaRDI QIDQ746038
Jianwen Cai, Donglin Zeng, Wenqin Pan
Publication date: 15 October 2015
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc2926144
Asymptotic properties of parametric estimators (62F12) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric inference under constraints (62F30)
Related Items (3)
A joint modeling approach for analyzing marker data in the presence of a terminal event ⋮ A Bayesian joint model of recurrent events and a terminal event ⋮ Analysis of cyclic recurrent event data with multiple event types
Cites Work
- Unnamed Item
- Unnamed Item
- A nonparametric dynamic additive regression model for longitudinal data.
- Weak convergence and empirical processes. With applications to statistics
- Sampling Adjusted Analysis of Dynamic Additive Regression Models for Longitudinal Data
- Semiparametric estimation of marginal mark distribution
- Joint Analysis of Longitudinal Data Comprising Repeated Measures and Times to Events
- Joint Modeling of Longitudinal and Survival Data via a Common Frailty
- Semiparametric Transformation Models for Point Processes
- Regression Parameter Estimation from Panel Counts
- Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
- Semiparametric and Nonparametric Regression Analysis of Longitudinal Data
- Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDS
- Bayesian Modeling of Multiple Episode Occurrence and Severity with a Terminating Event
- Semiparametric Time-Varying Coefficients Regression Model for Longitudinal Data
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