HW-07New

HW-07New - HOMEWORK FOR EXST 7036 (Chapter 7) Student Name:...

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Unformatted text preview: HOMEWORK FOR EXST 7036 (Chapter 7) Student Name: Tanza Erlambang 7.4. In a general Society Survey respondents were asked"Do you support or oppose the following measures to deal with AIDS? (1)Have the government pay all of the health care costs of AIDS patients; (2)Develop a government information program to promote safe sex practices, such as use of condom".Table 7.19 shows responses on these two items, classified also by the respondent's gender. Denote the variables by G for gender, H for opinion on health care costs, and I for opinion on an information program. Table 7.19. Data on Measure to deal with AIDS---------------------------------------------------------------------------------- Health Opinion----------------------- Gender Information Opinion Support Oppose----------------------------------------------------------------------------------- Male Support 76 160 Oppose 6 25 Female Support 114 181 Oppose 11 48----------------------------------------------------------------------------------- SAS output: The GENMOD Procedure Model Information Data Set WORK.AIDS Distribution Poisson Link Function Log Dependent Variable count Number of Observations Read 8 Number of Observations Used 8 Class Level Information 1 Class Levels Values G 2 1 2 I 2 1 2 H 2 1 2 Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 1 0.3007 0.3007 Scaled Deviance 1 0.3007 0.3007 Pearson Chi-Square 1 0.3074 0.3074 Scaled Pearson X2 1 0.3074 0.3074 Log Likelihood 2304.2847 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Confidence Chi- Parameter DF Estimate Error Limits Square Pr > ChiSq Intercept 1 3.8521 0.1415 3.5748 4.1295 740.90 <.0001 G 1 1 -0.5976 0.2242 -1.0370 -0.1582 7.11 0.0077 G 2 0 0.0000 0.0000 0.0000 0.0000 . . I 1 1 1.3514 0.1575 1.0426 1.6601 73.58 <.0001 I 2 0 0.0000 0.0000 0.0000 0.0000 . . H 1 1 -1.3750 0.2750 -1.9139 -0.8361 25.01 <.0001 H 2 0 0.0000 0.0000 0.0000 0.0000 . . G*H 1 1 1 -0.2516 0.1749 -0.5945 0.0913 2.07 0.1503 G*H 1 2 0 0.0000 0.0000 0.0000 0.0000 . . G*H 2 1 0 0.0000 0.0000 0.0000 0.0000 . . G*H 2 2 0 0.0000 0.0000 0.0000 0.0000 . . G*I 1 1 1 0.4636 0.2406 -0.0080 0.9352 3.71 0.0540 G*I 1 2 0 0.0000 0.0000 0.0000 0.0000 . . G*I 2 1 0 0.0000 0.0000 0.0000 0.0000 . . G*I 2 2 0 0.0000 0.0000 0.0000 0.0000 . . I *H 1 1 1 0.8997 0.2852 0.3408 1.4586 9.95 0.0016 I *H 1 2 0 0.0000 0.0000 0.0000 0.0000 . . I *H 2 1 0 0.0000 0.0000 0.0000 0.0000 . . I *H 2 2 0 0.0000 0.0000 0.0000 0.0000 . . Scale 0 1.0000 0.0000 1.0000 1.0000 a. Fit the model (GH, GI, HI) and test its goodness of fit Answer : G 2 =deviance= 0.301, df=1 the model fit adequately 2 b . For this model, estimate the GI conditional odds ratio, construct a 95% confidence interval, and interpret Answer : Estimate the GI conditional odds ratio, estimate log odds ratio for GI association = 0.464, with SE = 0.241....
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This note was uploaded on 04/11/2010 for the course EXST 7036 taught by Professor Brianmarx during the Spring '10 term at LSU.

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HW-07New - HOMEWORK FOR EXST 7036 (Chapter 7) Student Name:...

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