cfc.survreg function

Cause-specific competing-risk survival analysis, using parametric survival regression models

Convenient function to build cause-specific, parametric survival models using the survival package. This is followed by application of cfc function to produce cumulative incidence functions.

cfc.survreg(formula, data, newdata = NULL, dist = "weibull"
  , control = survreg.control(), tout, Nmax = 100L
  , rel.tol = 1e-05)

Arguments

• formula: Survival formula with a multi-state status variable. See cfc.prepdata.
• data: Data frame containing variables listed in formula.
• newdata: Data frame of structure similar to data, perhaps without the time and status columns, to be used for generating cumulative incidence curves.
• dist: One of survreg.distributions. It can also be a vector, in which case elements 1 through K (number of causes) will be extracted and assigned to each cause-specific survival model. This allows for using different distributions for different causes.
• control: List of survreg control parameters, according to survreg.control.
• tout: Time points, along which to produce the cumulative incidence curves.
• Nmax: Maximum number of subdivisions to be used in the cfc quadrature algorithm.
• rel.tol: Threshold for relative error in cfc quadrature, used as a stoppage criterion. See cfc for details.

Returns

A list with the following elements: - K: Number of causes.

• formulas: List of formulas used in each of the K cause-specific survival regression models.

• regs: List of all cause-specific regression objects returned by survreg, one per cause. The x field of each regression object has been substituted by the model matrix from newdata.

• tout: Same as input.

• cfc: An object of class cfc, the output of applying cfc to the parametric survival regression models constructed using survreg from survival package.

References

Mahani A.S. and Sharabiani M.T.A. (2019). Bayesian, and Non-Bayesian, Cause-Specific Competing-Risk Analysis for Parametric and Nonparametric Survival Functions: The R Package CFC. Journal of Statistical Software, 89(9), 1-29. doi:10.18637/jss.v089.i09

Author(s)

Mansour T.A. Sharabiani, Alireza S. Mahani

See Also

cfc.prepdata, cfc

Examples

data(bmt)
formul <- Surv(time, cause) ~ platelet + age + tcell
ret <- cfc.survreg(formul, bmt[1:300, ], bmt[-(1:300), ]
  , Nmax = 300, rel.tol = 1e-3)