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pphsm

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
fh@fharrell.com

See Also

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

rms

Regression Modeling Strategies

v6.2-0
GPL (>= 2)
Authors
Frank E Harrell Jr <fh@fharrell.com>
Initial release
2021-03-17

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