Joint analysis of current count and current status data

DOI10.1016/j.jmva.2015.08.015zbMath1328.62565OpenAlexW1608978592MaRDI QIDQ900799

Chi-Chung Wen, Yi-Hau Chen

Publication date: 23 December 2015

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2015.08.015

zbMATH Keywords

frailty modelcorrelated dataself-consistencypanel countsemiparametric maximum likelihood

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Uses Software

• frailtypack

Cites Work

• Two likelihood-based semiparametric estimation methods for panel count data with covariates
• Statistical analysis of panel count data
• Efficient estimation for the proportional hazards model with interval censoring
• 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 interval-censored failure time data.
• Joint frailty models for recurring events and death using maximum penalized likelihood estimation: application on cancer events
• A Frailty Model for Informative Censoring
• Shared Frailty Models for Recurrent Events and a Terminal Event
• Asymptotic Statistics
• A Hybrid Algorithm for Computation of the Nonparametric Maximum Likelihood Estimator From Censored Data
• Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data
• Age-Specific Incidence and Prevalence: A Statistical Perspective
• Inferences for a semiparametric model with panel data
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