This example uses a proportional hazards model for the sample data, VA Lung Cancer.jmp. The data were collected from a randomized clinical trial, where males with inoperable lung cancer were placed on either a standard or a novel (test) chemotherapy (Treatment). The primary interest of this trial was to assess if the treatment type has an effect on survival time, with special interest given to the type of tumor (Cell Type). See Prentice (1973) and Kalbfleisch and Prentice (2002) for additional details about this data set.
Age, Diag Time, and KPS are continuous measures and Cell Type, Treatment, and Prior are categorical (nominal) variables. The four nominal levels of Cell Type include Adeno, Large, Small, and Squamous.
1.
Select Help > Sample Data Library and open VA Lung Cancer.jmp.
2.
Select Analyze > Reliability and Survival > Fit Proportional Hazards.
3.
Select Time as Time to Event.
4.
Select censor as Censor.
5.
Select Cell Type, Treatment, Prior, Age, Diag Time, and KPS and click Add.
6.
Click Run.
Report Window for Proportional Hazards Model with Multiple Effects and Levels
In the Effect Likelihood Ratio Tests report, the Prob>ChiSq values indicate that KPS and at least one of the levels of Cell Type are significant, while Treatment, Prior, Age, and Diag Time effects are not significant.

Help created on 9/19/2017