R package dynsurv. Functions to fit time-varying coefficient models for interval censored and right censored survival data. Three major approaches are implemented: 1) Bayesian Cox model with time-independent, time-varying or dynamic coefficients for right censored and interval censored data; 2) Spline based time-varying coefficient Cox model for right censored data; 3) Transformation model with time-varying coefficients for right censored data using estimating equations.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Minnie M. Joo, Nicolás Schmidt, Sergio Béjar, Vineeta Yadav, Bumba Mukherjee: BayesMFSurv: An R Package to Estimate Bayesian Split-Population Survival Models With (and Without) Misclassified Failure Events (2020) not zbMATH
- Torsten Hothorn: Most Likely Transformations: The mlt Package (2020) not zbMATH
- Lin, Xiaoyan; Cai, Bo; Wang, Lianming; Zhang, Zhigang: A Bayesian proportional hazards model for general interval-censored data (2015)