pphsm: Parametric Proportional Hazards form of AFT Models

In rms: Regression Modeling Strategies

Parametric Proportional Hazards form of AFT Models

Description

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).

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, ...)

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

Author(s)

Frank Harrell
Department of Biostatistics
Vanderbilt University
[e-mail]

See Also

psm, summary.rms, print.pphsm

Examples

require(survival)
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)
## Not run: summary(f.ph)     # effects on hazard ratio scale
options(datadist=NULL)

rms documentation built on Sept. 11, 2024, 7:51 p.m.