Additive hazards models for gap time data with multiple causes

DOI10.1016/j.spl.2012.02.025zbMath1296.62186OpenAlexW1978491120MaRDI QIDQ449428

P. Anisha, Paduthol Godan Sankaran

Publication date: 30 August 2012

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2012.02.025

zbMATH Keywords

counting processesadditive hazards modelrecurrent event datagap time

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (4)

The Poisson-exponential model for recurrent event data: an application to bowel motility data ⋮ Estimation of partly linear additive hazards model with left-truncated and right-censored data ⋮ The exponential‐Poisson model for recurrent event data: An application to a set of data on malaria in Brazil ⋮ Non-parametric test of recurrent cumulative incidence functions for competing risks models

Cites Work

• Unnamed Item
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• Cox's regression model for counting processes: A large sample study
• Proportional mean residual life model for gap time distributions of recurrent events
• Checking a semiparametric additive risk model
• Marginal regression of gaps between recurrent events
• Analysis of multivariate survival data
• Some Graphical Displays and Marginal Regression Analyses for Recurrent Failure Times and Time Dependent Covariates
• Regression methods for gap time hazard functions of sequentially ordered multivariate failure time data
• Analysis of Repeated Failures or Durations, with Application to Shunt Failures for Patients with Paediatric Hydrocephalus
• The accelerated gap times model
• An Analysis of Comparative Carcinogenesis Experiments Based on Multiple Times to Tumor
• Nonparametric estimation of the gap time distribution for serial events with censored data
• Semiparametric analysis of the additive risk model
• Cox Regression in a Markov Renewal Model: An Application to the Analysis of Bone Marrow Transplant Data
• 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
• Shared frailty model for recurrent event data with multiple causes
• Analysis of repeated events
• Semiparametric regression analysis on longitudinal pattern of recurrent gap times
• Nonparametric Estimation of the Bivariate Recurrence Time Distribution

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