Logistic Regression: A Self-learning Text, Third Edition (Statistics in the Health Sciences)

(vip2019) #1

Confidence intervals:


exp ^lZ 1 a 2

ffiffiffiffiffiffiffiffiffiffiffiffiffi
dvarð^lÞ

q

where


^l¼^bþ~


p 2

j¼ 1

^djWj

Plugging the estimated coefficients into the
odds ratio formula yields the expression: e to
the quantity12.6894 plus 0.0692 times CHL
plus2.3318 times HPT.

To obtain a numerical value from this expres-
sion, it is necessary to specify a value for CHL
and a value for HPT. Different values for CHL
and HPT will, therefore, yield different odds
ratio values. This should be expected because
the model with interaction terms should give
different odds ratio estimates depending on the
values of the effect modifiers, which in this
case are CHL and HPT.

The table shown here illustrates different odds
ratio estimates that can result from specifying
different values of the effect modifiers. In this
table, the values of CHL used are 200, 220, and
240; the values of HPT are 0 and 1. The cells
within the table give the estimated odds ratios
computed from the above expression for the
odds ratio for different combinations of CHL
and HPT.

For example, when CHL equals 200 and HPT
equals 0, the estimated odds ratio is given by
3.16; when CHL equals 220 and HPT equals 1,
the estimated odds ratio is 1.22. Each of the
estimated odds ratios in this table describes the
association between CAT and CHD adjusted
for the five covariables AGE, CHL, ECG,
SMK, and HPT because each of the covariables
is contained in the model asVvariables.

To account for the variability associated with
each of the odds ratios presented in the above
tables, we can compute confidence intervals by
using the methods we have described. The gen-
eral confidence interval formula is given by e to
the quantityl^plus or minus a percentage point
of theZdistribution times the square root of
the estimated variance of^l, wherelis the linear
function shown here.

EXAMPLE (continued)

dOR¼exp½Šbþd 1 CHLþd 2 HPT
¼exp½ 12 : 6894 þ 0 : 0692 CHL
þðÞ 2 : 3318 HPTŠ

Must specify
CHL and HPT
""
Effect modifiers

AdjustedOR:d
HPT
01
200 3.16 0.31
CHL 220 12.61 1.22
240 50.33 4.89

CHL¼200, HPT¼ 0 )ORd¼3.16
CHL¼220, HPT¼ 1 )ORd¼1.22
dOR adjusts for AGE, CHL, ECG, SMK,
and HPT (Vvariables)

Presentation: VIII. Numerical Example 151
Free download pdf