There are only 4 rows of comparison as the input is partitioned. The attributes of patient Steffi are similar to the attributes of reference id 4, so her hazard ratio is very close to 1.0 (0.97).
CoxPredict Example 4 Output Table (Columns 1-8)
id |
name |
trt |
celltype |
karno |
diagtime |
age |
prior |
1 |
John |
standard |
squamous |
30 |
4 |
63 |
yes |
2 |
James |
standard |
large |
80 |
12 |
41 |
no |
3 |
Stella |
test |
smallcell |
70 |
3 |
72 |
no |
4 |
Steffi |
test |
adeno |
60 |
5 |
63 |
yes |
CoxPredict Example 4 Output Table (Columns 9-15)
trt_ref |
celltype_ref |
karno_ref |
diagtime_ref |
age_ref |
prior_ref |
hazardratio |
standard |
squamous |
58 |
12 |
60 |
yes |
2.44014910130533 |
standard |
smallcell |
54 |
8 |
58 |
no |
0.311881511740527 |
test |
smallcell |
52 |
12 |
61 |
no |
0.502993022637894 |
test |
adeno |
60 |
5 |
60 |
yes |
0.974218736747828 |