Parametric Accelerated Failure Time Models: Predict
This feature requires SPSS® Statistics Standard Edition or the Regression Option.
Predict
An optional panel to score and save the predicted statistics to the active data set.
- Time Values for Scoring
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- Time Values defined by dependent variable(s)
- Scores the Predictions based on the time variable specified for the parametric survival model.
- Regular intervals
- Scores the Predictions based on future time values. The Time interval field specifies the time interval, and must be a single numeric value greater than 0. The Number of time periods field specifies the number of the time periods, and must be a single numeric integer between 2 and 100.
- Time duration
- Scores the Predictions based on the time duration to define the future time values. It must be a single numeric variable.
- Predictions
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- Survival
- Scores and saves the predicted survival statistics to the active data set. The default custom variable name (or root name) is PredSurvival.
- Hazard
- Scores and saves the predicted hazards to the active data set. The default custom variable name (or root name) is PredHazard.
- Cumulative hazard
- Scores and saves the predicted cumulative hazards to the active data set. The default custom variable name (or root name) is PredCumHazard.
- Conditional survival
- Scores and saves the predicted conditional survival statistics to the active data set. The default custom variable name (or root name) is PredConditionalSurvival. The process will be ignored if PASTTIME is not specified. A Past survival time value is required, and specifies the past time values for scoring. It must be a single numeric variable.