Regression analysis of general mixed recurrent event data

DOI10.1007/S10985-023-09604-9OpenAlexW4384028654MaRDI QIDQ6092306

Dayu Sun, Liang Zhu, Jianguo Sun, Ryan Sun

Publication date: 23 November 2023

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-023-09604-9

zbMATH Keywords

panel count dataterminal eventrecurrent event dataevent history studypanel binary data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Survival analysis and censored data (62Nxx)

Cites Work

• Two likelihood-based semiparametric estimation methods for panel count data with covariates
• Statistical analysis of panel count data
• Two estimators of the mean of a counting process with panel count data.
• Statistical analysis of clustered mixed recurrent-event data with application to a cancer survivor study
• Joint frailty models for zero-inflated recurrent events in the presence of a terminal event
• A semiparametric likelihood-based method for regression analysis of mixed panel-count data
• Regression analysis of mixed recurrent‐event and panel‐count data with additive rate models
• An additive–multiplicative mean model for panel count data with dependent observation and dropout processes

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