pphsm

0th

Percentile

Parametric Proportional Hazards form of AFT Models

Translates an accelerated failure time (AFT) model fitted by psm to proportional hazards form, if the fitted model was a Weibull or exponential model (extreme value distribution with "log" link).

Keywords
models, regression, survival
Usage
pphsm(fit)
## S3 method for class 'pphsm':
print(x, digits=max(options()$digits - 4, 3),
correlation=TRUE, ...)
## S3 method for class 'pphsm':
vcov(object, \dots)
Arguments
fit
fit object created by psm
x
result of psm
digits
how many significant digits are to be used for the returned value
correlation
set to FALSE to suppress printing of correlation matrix of parameter estimates
...
ignored
object
a pphsm object
Value

  • a new fit object with transformed parameter estimates

See Also

psm, summary.rms, print.pphsm

Aliases
  • pphsm
  • print.pphsm
  • vcov.pphsm
Examples
set.seed(1)
S <- Surv(runif(100))
x <- runif(100)
dd <- datadist(x); options(datadist='dd')
f <- psm(S ~ x, dist="exponential")
summary(f)        # effects on log(T) scale
f.ph <- pphsm(f)
summary(f.ph)     # effects on hazard ratio scale
options(datadist=NULL)
Documentation reproduced from package rms, version 2.0-2, License: GPL (>= 2)

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