9.4 Refer to Table 9.1. Analyze the depression data (available at the text web site) using GEE assuming exchangeable correlation and with the time scores (1, 2, 4). Interpret model parameter estimates and compare substantive results to those in the text with scores (0, 1, 2). Table 9.1. Cross-classification of Responses on Depression at Three Times (N = Normal, A = Abnormal) by Treatment and Diagnosis Severity Response at Three Times Diagnosis Severity Treatment NNN NNA NAN NAA ANN ANA AAN AAA, Mild Standard 16 13 9 Mild New drug 31 0 6 Severe Standard Severe New drug 2 7 2 8 5 MOON 3 14 0 22 9 9 15 2 31 5222 4255 15 6 27 0 28 32 6. Source: Reprinted with permission from the Biometric Society (G. G. Koch et al., Biometrics, 33: 133-158, 1977). Table 9.3. Output from Using GEE to Fit Logistic Model to Table 9.1 Initial Parameter Estimates GEE Parameter Estimates Empirical Std Error Estimates Parameter Estimate Intercept -0.0280 Std error 0.1639 Std Parameter Estimate Error Intercept -0.0280 0.1742 severity -1.3139 0.1464 severity -1.3139 0.1460 drug -0.0596 0.2222 drug -0.0596 0.2285 time 0.4824 0.1148 time 0.4824 0.1199 drug time 1.0174 0.1888 drug*time 1.0174 0.1877 Working Correlation Matrix Coll Co12 Co13 Rowl 1.0000 0.0000 0.0000 Row2 0.0000 1.0000 0.0000 Row3 0.0000 0.0000 1.0000

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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9.4 Refer to Table 9.1. Analyze the depression data (available at the text web
site) using GEE assuming exchangeable correlation and with the time scores
(1, 2, 4). Interpret model parameter estimates and compare substantive results
to those in the text with scores (0, 1, 2).
Table 9.1. Cross-classification of Responses on Depression at Three Times
(N = Normal, A = Abnormal) by Treatment and Diagnosis Severity
Response at Three Times
Diagnosis
Severity
Treatment NNN NNA
NAN NAA ANN
ANA AAN
AAA,
Mild
Standard
16
13
9
Mild
New drug
31
0
6
Severe
Standard
Severe
New drug
2
7
2
8
5
MOON
3
14
0
22
9
9
15
2
31
5222
4255
15
6
27
0
28
32
6.
Source: Reprinted with permission from the Biometric Society (G. G. Koch et al., Biometrics, 33:
133-158, 1977).
Table 9.3. Output from Using GEE to Fit Logistic Model to Table 9.1
Initial Parameter Estimates
GEE Parameter Estimates
Empirical Std Error Estimates
Parameter Estimate
Intercept
-0.0280
Std
error
0.1639
Std
Parameter Estimate
Error
Intercept
-0.0280
0.1742
severity
-1.3139
0.1464
severity
-1.3139
0.1460
drug
-0.0596
0.2222
drug
-0.0596
0.2285
time
0.4824
0.1148 time
0.4824
0.1199
drug time
1.0174
0.1888 drug*time
1.0174
0.1877
Working Correlation Matrix
Coll
Co12
Co13
Rowl
1.0000
0.0000
0.0000
Row2
0.0000
1.0000
0.0000
Row3
0.0000
0.0000
1.0000
Transcribed Image Text:9.4 Refer to Table 9.1. Analyze the depression data (available at the text web site) using GEE assuming exchangeable correlation and with the time scores (1, 2, 4). Interpret model parameter estimates and compare substantive results to those in the text with scores (0, 1, 2). Table 9.1. Cross-classification of Responses on Depression at Three Times (N = Normal, A = Abnormal) by Treatment and Diagnosis Severity Response at Three Times Diagnosis Severity Treatment NNN NNA NAN NAA ANN ANA AAN AAA, Mild Standard 16 13 9 Mild New drug 31 0 6 Severe Standard Severe New drug 2 7 2 8 5 MOON 3 14 0 22 9 9 15 2 31 5222 4255 15 6 27 0 28 32 6. Source: Reprinted with permission from the Biometric Society (G. G. Koch et al., Biometrics, 33: 133-158, 1977). Table 9.3. Output from Using GEE to Fit Logistic Model to Table 9.1 Initial Parameter Estimates GEE Parameter Estimates Empirical Std Error Estimates Parameter Estimate Intercept -0.0280 Std error 0.1639 Std Parameter Estimate Error Intercept -0.0280 0.1742 severity -1.3139 0.1464 severity -1.3139 0.1460 drug -0.0596 0.2222 drug -0.0596 0.2285 time 0.4824 0.1148 time 0.4824 0.1199 drug time 1.0174 0.1888 drug*time 1.0174 0.1877 Working Correlation Matrix Coll Co12 Co13 Rowl 1.0000 0.0000 0.0000 Row2 0.0000 1.0000 0.0000 Row3 0.0000 0.0000 1.0000
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