predict.phreg: Predictions from proportional hazards model

In mets: Analysis of Multivariate Event Times

Predictions from proportional hazards model

Description

Predictions from proportional hazards model

Usage

## S3 method for class 'phreg'
predict(
  object,
  newdata,
  times = NULL,
  individual.time = FALSE,
  tminus = FALSE,
  se = TRUE,
  robust = FALSE,
  conf.type = "log",
  conf.int = 0.95,
  km = FALSE,
  ...
)

Arguments

object	phreg object
newdata	data.frame
times	Time where to predict variable, default is all time-points from the object sorted
individual.time	to use one (individual) time per subject, and then newdata and times have same length and makes only predictions for these individual times.
tminus	to make predictions in T- that is strictly before given times, useful for IPCW techniques
se	with standard errors and upper and lower confidence intervals.
robust	to get robust se's.
conf.type	transformation for suvival estimates, default is log
conf.int	significance level
km	to use Kaplan-Meier product-limit for baseline S_{s0}(t)= (1 - dA_{s0}(t)) , otherwise take exp of cumulative baseline.
...	Additional arguments to plot functions

mets documentation built on May 29, 2024, 3:51 a.m.