Parametric Shared Frailty Models
A Parametric Shared Frailty Models Survival analysis starts the parametric survival models procedure with recurrent life time data input. Parametric survival models assume that survival time follows a known distribution, and this analysis incorporates a frailty term into a parametric survival model. It is treated as a random component to account for an unobserved effect due to individual or group level variability.
Obtaining a Parametric Shared Frailty Models analysis
This feature requires SPSS® Statistics Standard Edition or the Advanced Statistics Option.
- From the menu, choose:
- Select a source variable.
- Time
-
- Survival
-
Survival time is represented by one variable to denote the end time. The start time would be set to 0.
- Start / End
- Numeric variables that denote Start Time and End Time.
- Subject
-
Required to run the procedure. Specifies a single variable for the subject ID.
- Interval
- Specifies a single and numeric variable for the interval number that is used to identify the different recurrent records that share the same subject ID.
- Status
- Single optional string or numeric variable that determines one of the following status settings:
- Failure/Event
- Maps a record to a failure/event category. The default value for a string status variable is F.
- Right Censoring
- Maps a record to a right censoring category. The default value for a string status variable is R.
- Unmapped Values Treatment
- Controls which category to map the unmapped records to. To delete the records that failed to be mapped, select Exclude them from analysis.
- Covariate(s)
- One or more optional numeric variables to be treated as covariates. Note that a variable cannot be specified by both Covariate(s) and Fixed Factor(s).
- Fixed Factor(s)
- One or more optional variables to be treated as factors. A variable cannot be specified by both Fixed Factor(s) and Covariate(s).
This procedure pastes SURVREG RECURRENT command syntax.