Independent variables:
BIRTHWGT (in grams)
GENDER
DIARRHEA¼
1 if symptoms
present in
past month
0 otherwise
8
><
>:
DIARRHEA
Exposure of interest
Time-dependent variable
Infant Care Study Model
logit PðD¼ 1 jXÞ
¼b 0 þb 1 BIRTHWGT
þb 2 GENDERþb 3 DIARRHEA
Five GEE models presented, with
differentCi:
- AR1 autoregressive
- Exchangeable
- Fixed
- Independent
- Independent (SLR)
The independent variables are BIRTHWGT
(the weight in grams at birth), GENDER (1¼
male, 2¼female), and DIARRHEA, a dichoto-
mous variable indicating whether the infant
had symptoms of diarrhea that month
(1¼yes, 0¼no). We shall consider DIAR-
RHEA as the main exposure of interest in this
analysis. Measurements for each subject were
obtained monthly for a 9-month period. The
variables BIRTHWGT and GENDER are time-
independent variables, as their values for a
given individual do not change month to
month. The variable DIARRHEA, however, is
a time-dependent variable.
The model for the study can be stated as shown
on the left.
Five GEE models are presented and compared,
the last of which is equivalent to a standard
logistic regression. The five models in terms
of their correlation structure (Ci) are as fol-
lows: (1) AR1 autoregressive, (2) exchangeable,
(3) fixed, (4) independent, and (5) independent
with model-based standard errors and scale
factor fixed at a value of 1 [i.e., a standard
logistic regression (SLR)]. After the output for
all five models is shown, a table is presented
that summarizes the results for the effect of the
variable DIARRHEA on the outcome. Addition-
ally, output from models using a stationary
4-dependent and a stationary 8-dependent cor-
relation structure is presented in the Practice
Exercises at the end of the chapter. A GEE
model using an unstructured correlation struc-
ture did not converge for the Infant Care data-
set using SAS version 9.2.
Presentation: II. Example 1: Infant Care Study 543