For example, if CHL equals 200 and HPT
equals 0, the computed odds ratio is 3.16,
whereas if CHL equals 220 and HPT equals 1,
the computed odds ratio is 1.22.
The table shown here gives odds ratio values,
indicated by “asterisked”dOR, for a model that
deletes the three eligible V variables, AGE,
SMK, and ECG. As with the gold standard
model, the odds ratio expression involves the
same two effect modifiers CHL and HPT, and
the table shown here considers the same com-
bination of CHL and HPT values.
If we compare corresponding odds ratios in the
two tables, we can see sufficient discrepancies.
For example, when CHL equals 200 and HPT
equals 0, the odds ratio is 3.16 in the gold
standard model, but is 4.57 when AGE, SMK,
and ECG are deleted. Also, when CHL equals
220 and HPT equals 1, the corresponding odds
ratios are 1.22 and 1.98.
Thus, because the two tables of odds ratios
differ appreciably, we cannot simultaneously
drop AGE, SMK, and ECG from the model.
Similar comparisons can be made by compar-
ing the gold standard odds ratio with odds
ratios obtained by deleting other subsets, for
example, AGE and SMK together, or AGE and
ECG together, and so on. All such comparisons
show sufficient discrepancies in corresponding
odds ratios. Thus, we cannot drop any of the
three eligible variables from the model.
We conclude that all fiveVvariables need to be
controlled, so that the final model contains the
exposure variable CAT, the fiveVvariables, and
the interaction variables involving CHL and
HPT.
EXAMPLE (continued)
CHL¼ 200 ;HPT¼ 0 ¼)ORd¼ 3 : 16
CHL¼ 220 ;HPT¼ 1 ¼)ORd¼ 1 : 22
dOR with AGE, SMK, ECG deleted:
dOR*¼expð 12 : 7411 þ 0 : 0713 CHL
2 : 2613 HPTÞ
HPT¼0 HPT¼ 1
CHL¼ 200 dOR*¼ 4 : 57 dOR*¼ 0 : 48
CHL¼ 220 dOR*¼ 19 : 01 dOR*¼ 1 : 98
CHL¼ 240 dOR*¼ 79 : 11 dOR*¼ 8 : 34
Gold standarddOR:dOR*
w/o AGE, SMK, ECG
HPT= 0 HPT=1HPT= 0 HPT=^1
CHL = 200
CHL = 220
CHL = 240
3.16 4.57
19.01
79.11
0.48
1.98
8.34
12.61
50.33
0.31
1.22
4.89
Cannot simultaneously drop AGE,
SMK, and ECG from model
gold standard other models
vs.
Other models: delete AGE and SMK or
delete AGE and ECG, etc.
Result: cannot drop AGE, SMK, or
ECG
Final model:
E: CAT
FiveVs: CHL, HPT, AGE, SMK, ECG
Two interactions: CATCHL,
CATHPT
228 7. Modeling Strategy for Assessing Interaction and Confounding