CoxModel_Year: Fitting a proportional hazard relative survival model with...

In JPSurv: Methods for population-based cancer survival analysis

Description

Fitting a proportional hazard relative survival model with year as a covariate

Usage

CoxModel_Year(formula, data, subset, ...)

Arguments

formula	an object of class "formula": a symbolic description of the model to be fitted. If the input data is from SEER*Stat, the formula can be ~Year. Otherwise, the full formula should be specified as: ~Alive_at_Start + Died + Lost_to_Followup + Expected_Survival_Interval + Interval + Year
data	an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model. If not found in data, the variables are taken from environment(formula).
subset	an optional vector specifying a subset of observations to be used in the fitting process.
...	additional arguments to be passed to the low level regression fitting functions.

Value

A list with attributes:

coefficients	a named vector of coefficients and standard errors
converged	convergence status
predicted	the fitted relative survival rates
xbeta	the linear predictor
ll	log likelihood
aic	AIC
bic	BIC

JPSurv documentation built on May 30, 2017, 7:55 a.m.