pphsm

print.pphsm

vcov.pphsm

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

models

regression

survival

Regression modeling, testing, estimation, validation,
graphics, prediction, and typesetting by storing enhanced model design
attributes in the fit.  'rms' is a collection of functions that
assist with and streamline modeling.  It also contains functions for
binary and ordinal logistic regression models, ordinal models for
continuous Y with a variety of distribution families, and the Buckley-James
multiple regression model for right-censored responses, and implements
penalized maximum likelihood estimation for logistic and ordinary
linear models.  'rms' works with almost any regression model, but it
was especially written to work with binary or ordinal regression
models, Cox regression, accelerated failure time models,
ordinary linear models,	the Buckley-James model, generalized least
squares for serially or spatially correlated observations, generalized
linear models, and quantile regression.

Frank Harrell Jr

Regression Modeling Strategies

pphsm function

<dl> <dt>fit</dt>
<dd>fit object created by <code>psm</code></dd> <dt>x</dt>
<dd>result of <code>psm</code></dd> <dt>digits</dt>
<dd>how many significant digits are to be used for the
 returned value</dd> <dt>correlation</dt>
<dd>set to <code>FALSE</code> to suppress printing of
 correlation matrix of parameter estimates</dd> <dt>...</dt>
<dd>ignored</dd> <dt>object</dt>
<dd>a pphsm object</dd></dl>

Arguments

Frank Harrell 
Department of Biostatistics 
Vanderbilt University 
fh@fharrell.com

Author

Parametric Proportional Hazards form of AFT Models — pphsm

<dl>

 <dt>fit</dt>
<dd>fit object created by <code>psm</code></dd>

 <dt>x</dt>
<dd>result of <code>psm</code></dd>

 <dt>digits</dt>
<dd>how many significant digits are to be used for the
 returned value</dd>

 <dt>correlation</dt>
<dd>set to <code>FALSE</code> to suppress printing of
 correlation matrix of parameter estimates</dd>

 <dt>...</dt>
<dd>ignored</dd>

 <dt>object</dt>
<dd>a pphsm object</dd>

</dl>

Frank Harrell 
Department of Biostatistics 
Vanderbilt University 
fh@fharrell.com

pphsm: Parametric Proportional Hazards form of AFT Models

Description

Usage

Value

Arguments

Author

See Also

Examples