A general class of additive semiparametric models for recurrent event data
DOI10.1016/j.jspi.2019.07.006zbMath1437.62696OpenAlexW2965824466MaRDI QIDQ2301059
Akim Adekpedjou, Russell S. IV Stocker
Publication date: 28 February 2020
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2019.07.006
counting processesrecurrent eventsadditive modelempirical process theoryeffective age processmultivariate lifetime data
Estimation in multivariate analysis (62H12) Applications of statistics in engineering and industry; control charts (62P30) Estimation in survival analysis and censored data (62N02) Foundations of stochastic processes (60G05)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A general class of semiparametric models for recurrent event data
- Cox's regression model for counting processes: A large sample study
- A semiparametric additive rates model for recurrent event data
- Testing with replacement and the product limit estimator
- Towards a general asymptotic theory for Cox model with staggered entry
- Nonparametric estimation for a general repair model
- Analysis of multivariate survival data
- Semiparametric analysis of general additive-multiplicative hazard models for counting processes
- Semiparametric inference for a general class of models for recurrent events
- The statistical analysis of recurrent events.
- Asymptotics for a class of dynamic recurrent event models
- Imperfect repair
- Some Graphical Displays and Marginal Regression Analyses for Recurrent Failure Times and Time Dependent Covariates
- Age-dependent minimal repair
- Regression Methods for Poisson Process Data
- Some results for repairable systems with general repair
- On the regression analysis of multivariate failure time data
- Semiparametric analysis of the additive risk model
- Nonparametric Estimation With Recurrent Event Data
- Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
- Conditional Regression Analysis for Recurrence Time Data
- Some Simple Robust Methods for the Analysis of Recurrent Events
- Statistical models based on counting processes
This page was built for publication: A general class of additive semiparametric models for recurrent event data