The LIFEREG Procedure

INSET Statement

  • INSET <keyword-list> </ options>;

The box or table of summary information produced on plots made with the PROBPLOT statement is called an inset. You can use the INSET statement to customize the information that is displayed in the inset box as well as to customize the appearance of the inset box. To supply the information that is displayed in the inset box, you specify keywords corresponding to the information that you want shown. For example, the following statements produce a probability plot with the number of observations, the number of right-censored observations, the name of the distribution, and the estimated Weibull shape parameter in the inset:

proc lifereg data=epidemic;
   model life = dose / dist = Weibull;
   probplot;
   inset nobs right dist shape;
run;

By default, inset entries are identified with appropriate labels. However, you can provide a customized label by specifying the keyword for that entry followed by the equal sign (=) and the label in quotes. For example, the following INSET statement produces an inset containing the number of observations and the name of the distribution, labeled "Sample Size" and "Distribution" in the inset:

inset nobs='Sample Size' dist='Distribution';

If you specify a keyword that does not apply to the plot you are creating, then the keyword is ignored.

If you specify more than one INSET statement, only the first one is used.

Table 4 lists keywords available in the INSET statement to display summary statistics, distribution parameters, and distribution fitting information.

Table 4: INSET Statement Keywords

Keyword Description
CONFIDENCE Confidence coefficient for all confidence intervals
DIST Name of the distribution
INTERVAL Number of interval-censored observations
LEFT Number of left-censored observations
NOBS Number of observations
NMISS Number of observations with missing values
RIGHT Number of right-censored observations
SCALE Value of the scale parameter
SHAPE Value of the shape parameter
UNCENSORED Number of uncensored observations


Last updated: December 09, 2022