coxreg.fit: Cox regression

In eha: Event History Analysis

Cox regression

Description

Called by coxreg, but a user can call it directly.

Usage

coxreg.fit(
  X,
  Y,
  rs,
  weights,
  t.offset = NULL,
  strats,
  offset,
  init,
  max.survs,
  method = "efron",
  boot = FALSE,
  efrac = 0,
  calc.martres = TRUE,
  control,
  verbose = TRUE,
  calc.hazards = NULL,
  center = NULL
)

Arguments

X	The design matrix.
Y	The survival object.
rs	The risk set composition. If absent, calculated.
weights	Case weights; time-fixed or time-varying.
t.offset	Case offset; time-varying.
strats	The stratum variable. Can be absent.
offset	Offset. Can be absent.
init	Start values. If absent, equal to zero.
max.survs	Sampling of risk sets? If so, gives the maximum number of survivors in each risk set.
method	Either "efron" (default) or "breslow".
boot	Number of bootstrap replicates. Defaults to FALSE, no bootstrapping.
efrac	Upper limit of fraction failures in 'mppl'.
calc.martres	Should martingale residuals be calculated?
control	See coxreg
verbose	Should Warnings about convergence be printed?
calc.hazards	Deprecated. See coxreg.
center	Deprecated. See coxreg.

Details

rs is dangerous to use when NA's are present.

Value

A list with components

coefficients	Estimated regression parameters.
var	Covariance matrix of estimated coefficients.
loglik	First component is value at init, second at maximum.
score	Score test statistic, at initial value.
linear.predictors	Linear predictors.
residuals	Martingale residuals.
hazard	Estimated baseline hazard. At value zero of design variables.
means	Means of the columns of the design matrix.
bootstrap	The bootstrap replicates, if requested on input.
conver	TRUE if convergence.
f.conver	TRUE if variables converged.
fail	TRUE if failure.
iter	Number of performed iterations.

Note

It is the user's responsibility to check that indata is sane.

Author(s)

Göran Broström

See Also

coxreg, risksets

Examples

 X <- as.matrix(data.frame(
                x=     c(0, 2,1,4,1,0,3),
                sex=   c(1, 0,0,0,1,1,1)))
 time <- c(1,2,3,4,5,6,7)
 status <- c(1,1,1,0,1,1,0)
 stratum <- rep(1, length(time))

 coxreg.fit(X, Surv(time, status), strats = stratum, max.survs = 6,
     control = list(eps=1.e-4, maxiter = 10, trace = FALSE))

eha documentation built on Oct. 7, 2024, 1:17 a.m.