BASELINE
<OUT=SASdataset> <OUTDIFF=SASdataset> <COVARIATES=SASdataset> <TIMELIST=list> <keyword=name …keyword=name> </ options> ;
The BASELINE statement creates a SAS data set (named by the OUT= option) that contains the baseline function estimates at the event times of each stratum for every set of covariates in the COVARIATES= data set. If the COVARIATES= data set is not specified, a reference set of covariates consisting of the reference levels for the CLASS variables and the average values for the continuous variables is used. You can use the DIRADJ option to obtain the direct adjusted survival curve that averages the estimated survival curves for the observations in the COVARIATES= data set. No BASELINE data set is created if the model contains a timedependent variable defined by means of programming statement.
Table 67.2 summarizes the options available in the BASELINE statement.
Table 67.2: BASELINE Statement Options
Option 
Description 

Data Set and Time List Options 

Specifies the output BASELINE data set 

Specifies the output data set that contains differences of direct adjusted survival curves 

Specifies the SAS data set that contains the explanatory variables 

Specifies a list of time points for Bayesian computation of survival estimates. 

Keyword Options 

Specifies the cumulative mean function estimate 

Specifies the cumulative hazard function estimate 

Specifies the log of the negative log of SURVIVAL 

Specifies the log of SURVIVAL 

Specifies the lower pointwise confidence limit for CMF 

specifies the lower pointwise confidence limit for CUMHAZ 

Specifies the lower limit of the HPD interval for CUMHAZ 

Specifies the lower limit of the HPD interval for SURVIVAL 

Specifies the lower pointwise confidence limit for SURVIVAL 

Specifies the estimated standard error of CMF 

Specifies the estimated standard error of CUMHAZ 

Specifies the standard error of SURVIVAL 

Specifies the estimated standard error of the linear predictor estimator 

Specifies the survivor function estimate 

Specifies the upper pointwise confidence limit for CMF 

Specifies the upper pointwise confidence limit for CUMHAZ 

Specifies the upper limit of the HPD interval for CUMHAZ 

Specifies the upper limit of the HPD interval for SURVIVAL 

Specifies the upper pointwise confidence limit for SURVIVAL 

Specifies the estimate of the linear predictor 

Other Options 

Specifies the significance level of the confidence interval for the survivor function 

Specifies the method used to compute the confidence limits 

Computes direct adjusted survival curves 

Names a variable whose values are used to identify or group the survival curves 

Specifies the method used to compute the survivor function estimates 

Names the variable in the COVARIATES= data set for identifying the baseline functions curves in the plots 
The following options are available in the BASELINE statement.
The following options can appear in the BASELINE statement after a slash (/). The METHOD= and CLTYPE= options apply only to the estimate of the survivor function in the classical analysis. For the Bayesian analysis, the survivor function is estimated by the Breslow (1972) method.
For recurrent events data, both CMF= and CUMHAZ= statistics are the Nelson estimators, but their standard error are not the same. Confidence limits for the cumulative mean function and cumulative hazard function are based on the log transform.