The QUANTLIFE Procedure
The OUTBOOTEST= data set contains parameter estimates for the specified model from resampled data sets. A set of observations is created for each quantile level and for each resampled data set.
If the QUANTLIFE procedure does not produce valid solutions, the parameter estimates are set to missing in the OUTBOOTEST= data set.
If created, this data set contains all variables that are specified in the MODEL statement. Each observation contains parameter estimates for a specified quantile level.
The following variables are also included in the data set:
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any specified BY variables
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_STATUS_, a character variable of length 12 that contains the status of the model fit: either NORMAL, NOUNIQUE, or NOVALID -
Intercept, a numeric variable that contains the intercept parameter estimates -
_TAU_, a numeric variable that contains the specified quantile levels from the MODEL statement
For continuous explanatory variables, the names of the parameters are the same as they are for the corresponding variables. For CLASS variables, the parameter names are obtained by concatenating the corresponding CLASS variable name to the CLASS category. For interaction and nested effects, the parameter names are created by concatenating the names of each component effect.
The OUT= data set that is specified in the OUTPUT statement contains all the variables in the input data set, along with statistics that you request by specifying keyword=name options. The additional variables are calculated for each observation in the input data set.
The OUT= data set that is specified in the BASELINE statement contains all the variables in the COVARIATES= data set.
The following variables are also added to the data set:
_QUANTILE_-
a numeric variable that contains the estimated quantile function
_SURVIVAL_-
a numeric variable that contains the estimated survival function
_TAU_-
a numeric variable that contains the quantile levels that are the complement of the survival function