Medical researchers want to determine the rate of recovery from acute leukemia after treatment with a bone marrow transplant. The researchers plan to adjust the analysis for a patient's age. The researchers record the stage and age of 90 male cancer patients. Then, the researchers record the number of years between the first treatment and either the patient's death or the end of the study. Finally, the researchers record whether the patient died.
You can use this data to demonstrate Fit Cox Model with Fixed Predictors only.
|Stage||Stage to which the cancer has advanced: I, II, III, IV|
|Time||Number of years between the first treatment and either the patient's death or the end of the study|
|Age||Age of the patient when they began the first treatment|
|Death||Whether the patient died|
These data were adapted based on a public data set from Kardaun that is in Klein and Moeschberger (2003)1.