print.cph.fit

print table of frequencies of events, by strata (if any)

table

print coefficient estimates, standard errors, and z-statistics

coef

set to e.g. .95 to print 0.95 confidence intervals. Default is <code>FALSE</code>
to suppress confidence intervals

conf.int

constant by which to multiply coefficients and standard errors if
printing confidence intervals.

scale

digits

Formatted printing of an object of class <code>cph.fit</code> created
by <code>cph.fit</code> (which is usually called by <code>cph</code>). Most of the
logic for <code>print.cph.fit</code> came from Therneau's <code>print.coxreg</code>.

print

Regression modeling, testing, estimation, validation,
        graphics, prediction, and typesetting by storing enhanced model
        design attributes in the fit.  rms is a collection of about 180
        functions that assist and streamline modeling, especially for
        biostatistical and epidemiologic applications.  It also
        contains new functions for binary and ordinal logistic
        regression models 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 logistic
        regression, 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.fit: Print cph.fit

Description

Usage

Arguments

See Also