Displayed Output
The displayed output of the
PHREG procedure contains the following:
- the two-level name of the input data set
- the name and label of the failure-time variable
- the name and label of the censoring variable
- the censoring values
- the name and label of the offset variable
- the name and label of the frequency variable
- the method of handling ties in the failure time
- the "Summary of the Number of Event and Censored Values" table,
which displays, for each stratum, the breakdown of the number of events
and censored values. This table is not produced if the NOSUMMARY option
is specified.
- the "Simple Statistics for Explanatory Variables" table,
which displays, for each stratum,
the mean, standard deviation, and minimum and maximum for
each explanatory variable in the MODEL statement
(if you specify the SIMPLE option in the PROC PHREG statement)
- the "Iteration History" table, which displays the iteration number,
step size, log likelihood,
and parameter estimates
at each iteration
(if you specify the ITPRINT option
in the MODEL statement).
The last
evaluation of the gradient vector is also displayed.
- the "Model Fit Statistics" table,
which gives the values
of -2 log likelihood for fitting a model with no explanatory variable
and for fitting a model with all the explanatory
variables. The AIC and SBC are also given in this table.
- the "Testing Global Null Hypothesis: BETA=0" table,
which displays results of
the likelihood ratio test, the score test, and the Wald test
- the "Analysis of Maximum Likelihood Estimates" table, which
contains the following:
- -
- the maximum likelihood estimate of the parameter
- -
- the estimated standard error
of the parameter estimate,
computed as the square root of the corresponding diagonal element of the
estimated covariance matrix
- -
- the Wald Chi-Square statistic, computed as the square of
the parameter estimate divided by its standard error estimate
- -
- the degrees of freedom of the Wald chi-square statistic. It
has a value of 1 unless the corresponding parameter is redundant or
infinite, in which case the value is 0.
- -
- the p-value of the Wald chi-squared statistic with respect
to a chi-squared distribution with one degree of freedom
- -
- the hazards ratio
computed by exponentiating the parameter estimate
- -
- the confidence limits
for the hazards ratio (if you specified the option RISKLIMITS)
- the "Regression Models Selected by Score Criterion"
table, which gives
the number of explanatory variables in each model,
the score chi-squared statistic,
and the names of the variables included in the model
(if you specify SELECTION=SCORE in the MODEL statement)
- the "Analysis of Variables Not in the
Model" table, which gives the Score chi-squared
statistic for testing the significance of each
variable not in the model after adjusting for the
variables already in the model, and the p-value
of the chi-squared statistic with respect to a
chi-squared distribution with one degree of freedom
(if you specify SELECTION=FORWARD, SELECTION=BACKWARD,
or SELECTION=STEPWISE in the MODEL statement). This
table is produced before the variable selected for
entry for SELECTION=FORWARD or SELECTION=STEPWISE is
displayed.
- a summary of the model-building process, which
gives the step number, the explanatory variables
entered or removed at each step, the chi-squared
statistic, and the corresponding p-value on
which the entry or removal is based (if you specify
SELECTION=FORWARD, SELECTION=BACKWARD, or
SELECTION=STEPWISE in the MODEL statement)
- the estimated covariance matrix of the parameter estimates
(if you use the COVB option in the MODEL statement)
- the estimated
correlation matrix of the parameter estimates
(if you use the CORRB option in the MODEL statement)
- the "Linear Hypothesis Testing" table, which gives the
results of the Wald test for each TEST statement (if
specified)
Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.