Computationally Efficient Marginal Models for Clustered Recurrent Event Data

DOI10.1111/j.1541-0420.2011.01676.xzbMath1274.62824OpenAlexW1979266687WikidataQ34034956 ScholiaQ34034956MaRDI QIDQ2912365

Dandan Liu, Douglas E. Schaubel, John D. Kalbfleisch

Publication date: 14 September 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3384760

zbMATH Keywords

piecewise constantmarginal modelsproportional rateslarge databaseclustered recurrent event datainterval-grouped data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (8)

Analysis of a fixed center effect additive rates model for recurrent event data ⋮ An additive marginal regression model for clustered recurrent event in the presence of a terminal event ⋮ Semiparametric mean model with non linear time effect of the covariate for clustered recurrent events with terminal events ⋮ The Cox–Aalen model for recurrent‐event data with a dependent terminal event ⋮ Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event ⋮ An additive hazards model for clustered recurrent gap times ⋮ Evaluating hospital readmission rates in dialysis facilities; adjusting for hospital effects ⋮ An additive-multiplicative rates model for recurrent event data with informative terminal event

Uses Software

• R
• SAS

Cites Work

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• Cox's regression model for counting processes: A large sample study
• Estimating treatment effects on the marginal recurrent event mean in the presence of a terminating event
• Two estimators of the mean of a counting process with panel count data.
• The statistical analysis of recurrent events.
• Semiparametric methods for clustered recurrent event data
• Analysis of interval-grouped recurrent-event data using piecewise constant rate functions
• Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
• Some Simple Robust Methods for the Analysis of Recurrent Events
• Semiparametric Analysis of Correlated Recurrent and Terminal Events

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