Predictors (Complex Samples Cox Regression)

The Predictors tab allows you to specify the factors and covariates used to build model effects.

Factors. Factors are categorical predictors; they can be numeric or string.

Covariates. Covariates are scale predictors; they must be numeric.

Time-Dependent Predictors. There are certain situations in which the proportional hazards assumption does not hold. That is, hazard ratios change across time; the values of one (or more) of your predictors are different at different time points. In such cases, you need to specify time-dependent predictors. See the topic Define Time-Dependent Predictor (Complex Samples Cox Regression) for more information. Time-dependent predictors can be selected as factors or covariates.

How To Specify Predictors

This feature requires the Complex Samples option.

  1. From the menus choose:

    Analyze > Complex Samples > Cox Regression...

  2. Select a plan file. Optionally, select a custom joint probabilities file and then click Continue.
  3. In the Complex Samples Cox Regression dialog box, click the Predictors tab.