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

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Practice
Exercises


Questions 1–5 pertain to identifying the following correla-
tion structures that apply to clusters of four responses each:
A
10 :27 0:27 0: 27
0 :27 1 0:27 0: 27
0 :27 0:27 1 0:: 27
0 :27 0:27 0:27 1

2 6 6 6 6 6 4


3 7 7 7 7 7 5


B


10 :35 0 0


0 :35 1 0:35 0


00 :35 1 0: 35


000 :35 1


2 6 6 6 6 6 4


3 7 7 7 7 7 5 C


1000


0100


0010


0001


2


6


6


6


6


(^64)


3


7


7


7


7


(^75)


D


10 :50 0:25 0: 125


0 :50 1 0:50 0: 25


0 :25 0:50 1 0: 50


0 :125 0:25 0:50 1


2


6


6


6


6


(^64)


3


7


7


7


7


(^75)


E


10 :50 0:25 0: 125


0 :50 1 0:31 0: 46


0 :25 0:31 1 0: 163


0 :125 0:46 0:163 1


2


(^66)
6
6
6
4


3


(^77)
7
7
7
5



  1. Matrix A is an example of which correlation structure?

  2. Matrix B is an example of which correlation structure?

  3. Matrix C is an example of which correlation structure?

  4. Matrix D is an example of which correlation structure?

  5. Matrix E is an example of which correlation structure?


True or False (Circle T or F)

T F 6. If there are two responses for each cluster, then
the exchangeable, AR1, and unstructured work-
ing correlation structure reduce to the same
correlation structure.
T F 7. A likelihood ratio test can test the statistical sig-
nificance of several parameters simultaneously
in a GEE model.
T F 8. Since GEE models produce consistent estimates
for the regression parameters even if the correla-
tion structure is misspecified (assuming the
mean response is modeled correctly), there
is no particular advantage in specifying the cor-
relation structure correctly.
T F 9. Maximum likelihood estimates are obtained in
a GLM by solving a system of score equations.

536 14. Logistic Regression for Correlated Data: GEE

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