print.cph

number of digits to right of decimal place to print

digits

set to e.g. .95 to print 0.95 confidence intervals on simple hazard
ratios (which are usually meaningless as one-unit changes are seldom
relevant and most models contain multiple terms per predictor)

conf.int

set to <code>FALSE</code> to suppress event frequency statistics

table

specify <code>coefs=FALSE</code> to suppress printing the table
  of model coefficients, standard errors, etc.  Specify <code>coefs=n</code>
  to print only the first <code>n</code> regression coefficients in the
  model.

coefs

a logical value indicating whether information should be
  formatted as plain text or as LaTeX markup

latex

a character string title to be passed to <code>prModFit</code>

title

arguments passed to <code>prModFit</code>

Formatted printing of an object of class <code>cph</code>. Prints strata
frequencies, parameter estimates, standard errors, z-statistics, numbers
of missing values, etc.

print

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.

print.cph: Print cph Results

Description

Usage

Arguments

See Also