The exponential‐Poisson model for recurrent event data: An application to a set of data on malaria in Brazil

DOI10.1002/bimj.201300116zbMath1336.62020OpenAlexW1898096480WikidataQ30864037 ScholiaQ30864037MaRDI QIDQ5247904

Vicente G. Cancho, Francisco Louzada, Márcia A. C. Macera, Cor J. F. Fontes

Publication date: 27 April 2015

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201300116

zbMATH Keywords

maximum likelihood estimationrate functionrecurrent eventsgap timelatent competing risks

Mathematics Subject Classification ID

Related Items (3)

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Uses Software

• R
• DLMF
• invGauss

Cites Work

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• The accelerated gap times model
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• Testing for the Presence of Immune or Cured Individuals in Censored Survival Data
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• Analyzing Recurrent Event Data With Informative Censoring
• Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
• Some Simple Robust Methods for the Analysis of Recurrent Events
• Approximating Point Process Likelihoods with GLIM
• Bayesian reliability analysis of complex repairable systems
• Statistical models based on counting processes
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