Joint modelling of longitudinal biomarker and gap time between recurrent events: copula-based dependence
From MaRDI portal
Publication:5130307
DOI10.1080/02664763.2015.1014889OpenAlexW2015683225MaRDI QIDQ5130307
Kambiz A. Ahmadi, Amal Saki Malehi, Parvin Mansouri, Ebrahim Hajizadeh
Publication date: 4 November 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2015.1014889
Related Items
Joint modelling of longitudinal measurements and survival times via a multivariate copula approach, A Gaussian copula joint model for longitudinal and time-to-event data with random effects
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Bootstrapping regression parameters in multivariate survival analysis
- Bootstrapping generalized linear models
- The statistical analysis of recurrent events.
- A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error
- Joint Analysis of Longitudinal Data Comprising Repeated Measures and Times to Events
- Analysis of Longitudinal Data in the Presence of Informative Observational Times and a Dependent Terminal Event, with Application to Medical Cost Data
- Joint modelling of accelerated failure time and longitudinal data
- A Joint Model for Survival and Longitudinal Data Measured with Error
- Joint Modeling of Survival and Longitudinal Data: Likelihood Approach Revisited
- Joint modelling of longitudinal measurements and event time data