The SAS System The FREQ Procedure Table 1 of S by A Controlling for D=DeptA S A Frequency| Expected | Percent |Reject |Accept | Total ---------+--------+--------+ Male | 313 | 512 | 825 | 293.57 | 531.43 | | 33.55 | 54.88 | 88.42 ---------+--------+--------+ Female | 19 | 89 | 108 | 38.431 | 69.569 | | 2.04 | 9.54 | 11.58 ---------+--------+--------+ Total 332 601 933 35.58 64.42 100.00 Statistics for Table 1 of S by A Controlling for D=DeptA Statistic DF Value Prob ------------------------------------------------------ Chi-Square 1 17.2480 <.0001 Likelihood Ratio Chi-Square 1 19.0540 <.0001 Continuity Adj. Chi-Square 1 16.3718 <.0001 Mantel-Haenszel Chi-Square 1 17.2295 <.0001 Phi Coefficient 0.1360 Contingency Coefficient 0.1347 Cramer's V 0.1360 Fisher's Exact Test ---------------------------------- Cell (1,1) Frequency (F) 313 Left-sided Pr <= F 1.0000 Right-sided Pr >= F 1.151E-05 Table Probability (P) 7.672E-06 Two-sided Pr <= P 1.669E-05 Estimates of the Relative Risk (Row1/Row2) Type of Study Value 95% Confidence Limits ----------------------------------------------------------------- Case-Control (Odds Ratio) 2.8636 1.7112 4.7921 Cohort (Col1 Risk) 2.1566 1.4206 3.2737 Cohort (Col2 Risk) 0.7531 0.6799 0.8341 Sample Size = 933 The SAS System The FREQ Procedure Table 2 of S by A Controlling for D=DeptB S A Frequency| Expected | Percent |Reject |Accept | Total ---------+--------+--------+ Male | 207 | 353 | 560 | 205.81 | 354.19 | | 35.38 | 60.34 | 95.73 ---------+--------+--------+ Female | 8 | 17 | 25 | 9.188 | 15.812 | | 1.37 | 2.91 | 4.27 ---------+--------+--------+ Total 215 370 585 36.75 63.25 100.00 Statistics for Table 2 of S by A Controlling for D=DeptB Statistic DF Value Prob ------------------------------------------------------ Chi-Square 1 0.2537 0.6145 Likelihood Ratio Chi-Square 1 0.2586 0.6111 Continuity Adj. Chi-Square 1 0.0851 0.7705 Mantel-Haenszel Chi-Square 1 0.2533 0.6148 Phi Coefficient 0.0208 Contingency Coefficient 0.0208 Cramer's V 0.0208 Fisher's Exact Test ---------------------------------- Cell (1,1) Frequency (F) 207 Left-sided Pr <= F 0.7598 Right-sided Pr >= F 0.3918 Table Probability (P) 0.1516 Two-sided Pr <= P 0.6771 Estimates of the Relative Risk (Row1/Row2) Type of Study Value 95% Confidence Limits ----------------------------------------------------------------- Case-Control (Odds Ratio) 1.2461 0.5285 2.9379 Cohort (Col1 Risk) 1.1551 0.6457 2.0664 Cohort (Col2 Risk) 0.9270 0.7032 1.2220 Sample Size = 585 The SAS System The FREQ Procedure Table 3 of S by A Controlling for D=DeptC S A Frequency| Expected | Percent |Reject |Accept | Total ---------+--------+--------+ Male | 205 | 120 | 325 | 211 | 114 | | 22.33 | 13.07 | 35.40 ---------+--------+--------+ Female | 391 | 202 | 593 | 385 | 208 | | 42.59 | 22.00 | 64.60 ---------+--------+--------+ Total 596 322 918 64.92 35.08 100.00 Statistics for Table 3 of S by A Controlling for D=DeptC Statistic DF Value Prob ------------------------------------------------------ Chi-Square 1 0.7535 0.3854 Likelihood Ratio Chi-Square 1 0.7510 0.3862 Continuity Adj. Chi-Square 1 0.6332 0.4262 Mantel-Haenszel Chi-Square 1 0.7527 0.3856 Phi Coefficient -0.0287 Contingency Coefficient 0.0286 Cramer's V -0.0287 Fisher's Exact Test ---------------------------------- Cell (1,1) Frequency (F) 205 Left-sided Pr <= F 0.2129 Right-sided Pr >= F 0.8265 Table Probability (P) 0.0394 Two-sided Pr <= P 0.3866 Estimates of the Relative Risk (Row1/Row2) Type of Study Value 95% Confidence Limits ----------------------------------------------------------------- Case-Control (Odds Ratio) 0.8826 0.6656 1.1702 Cohort (Col1 Risk) 0.9566 0.8645 1.0586 Cohort (Col2 Risk) 1.0839 0.9045 1.2989 Sample Size = 918 The SAS System The FREQ Procedure Table 4 of S by A Controlling for D=DeptD S A Frequency| Expected | Percent |Reject |Accept | Total ---------+--------+--------+ Male | 278 | 139 | 417 | 274.84 | 142.16 | | 35.10 | 17.55 | 52.65 ---------+--------+--------+ Female | 244 | 131 | 375 | 247.16 | 127.84 | | 30.81 | 16.54 | 47.35 ---------+--------+--------+ Total 522 270 792 65.91 34.09 100.00 Statistics for Table 4 of S by A Controlling for D=DeptD Statistic DF Value Prob ------------------------------------------------------ Chi-Square 1 0.2250 0.6353 Likelihood Ratio Chi-Square 1 0.2249 0.6353 Continuity Adj. Chi-Square 1 0.1594 0.6897 Mantel-Haenszel Chi-Square 1 0.2247 0.6355 Phi Coefficient 0.0169 Contingency Coefficient 0.0169 Cramer's V 0.0169 Fisher's Exact Test ---------------------------------- Cell (1,1) Frequency (F) 278 Left-sided Pr <= F 0.7087 Right-sided Pr >= F 0.3448 Table Probability (P) 0.0535 Two-sided Pr <= P 0.6529 Estimates of the Relative Risk (Row1/Row2) Type of Study Value 95% Confidence Limits ----------------------------------------------------------------- Case-Control (Odds Ratio) 1.0738 0.8001 1.4410 Cohort (Col1 Risk) 1.0246 0.9266 1.1329 Cohort (Col2 Risk) 0.9542 0.7862 1.1581 Sample Size = 792 The SAS System The FREQ Procedure Table 5 of S by A Controlling for D=DeptE S A Frequency| Expected | Percent |Reject |Accept | Total ---------+--------+--------+ Male | 138 | 53 | 191 | 142.92 | 48.077 | | 23.63 | 9.08 | 32.71 ---------+--------+--------+ Female | 299 | 94 | 393 | 294.08 | 98.923 | | 51.20 | 16.10 | 67.29 ---------+--------+--------+ Total 437 147 584 74.83 25.17 100.00 Statistics for Table 5 of S by A Controlling for D=DeptE Statistic DF Value Prob ------------------------------------------------------ Chi-Square 1 1.0011 0.3171 Likelihood Ratio Chi-Square 1 0.9904 0.3196 Continuity Adj. Chi-Square 1 0.8080 0.3687 Mantel-Haenszel Chi-Square 1 0.9994 0.3175 Phi Coefficient -0.0414 Contingency Coefficient 0.0414 Cramer's V -0.0414 Fisher's Exact Test ---------------------------------- Cell (1,1) Frequency (F) 138 Left-sided Pr <= F 0.1841 Right-sided Pr >= F 0.8646 Table Probability (P) 0.0486 Two-sided Pr <= P 0.3604 Estimates of the Relative Risk (Row1/Row2) Type of Study Value 95% Confidence Limits ----------------------------------------------------------------- Case-Control (Odds Ratio) 0.8186 0.5529 1.2120 Cohort (Col1 Risk) 0.9497 0.8559 1.0536 Cohort (Col2 Risk) 1.1601 0.8690 1.5487 Sample Size = 584 The SAS System The FREQ Procedure Table 6 of S by A Controlling for D=DeptF S A Frequency| Expected | Percent |Reject |Accept | Total ---------+--------+--------+ Male | 351 | 22 | 373 | 348.97 | 24.031 | | 49.16 | 3.08 | 52.24 ---------+--------+--------+ Female | 317 | 24 | 341 | 319.03 | 21.969 | | 44.40 | 3.36 | 47.76 ---------+--------+--------+ Total 668 46 714 93.56 6.44 100.00 Statistics for Table 6 of S by A Controlling for D=DeptF Statistic DF Value Prob ------------------------------------------------------ Chi-Square 1 0.3841 0.5354 Likelihood Ratio Chi-Square 1 0.3836 0.5357 Continuity Adj. Chi-Square 1 0.2182 0.6404 Mantel-Haenszel Chi-Square 1 0.3836 0.5357 Phi Coefficient 0.0232 Contingency Coefficient 0.0232 Cramer's V 0.0232 Fisher's Exact Test ---------------------------------- Cell (1,1) Frequency (F) 351 Left-sided Pr <= F 0.7801 Right-sided Pr >= F 0.3198 Table Probability (P) 0.1000 Two-sided Pr <= P 0.5458 Estimates of the Relative Risk (Row1/Row2) Type of Study Value 95% Confidence Limits ----------------------------------------------------------------- Case-Control (Odds Ratio) 1.2079 0.6642 2.1968 Cohort (Col1 Risk) 1.0123 0.9738 1.0522 Cohort (Col2 Risk) 0.8380 0.4789 1.4665 Sample Size = 714 The SAS System The FREQ Procedure Summary Statistics for S by A Controlling for D Cochran-Mantel-Haenszel Statistics (Based on Table Scores) Statistic Alternative Hypothesis DF Value Prob --------------------------------------------------------------- 1 Nonzero Correlation 1 1.4313 0.2316 2 Row Mean Scores Differ 1 1.4313 0.2316 3 General Association 1 1.4313 0.2316 Estimates of the Common Relative Risk (Row1/Row2) Type of Study Method Value 95% Confidence Limits ------------------------------------------------------------------------- Case-Control Mantel-Haenszel 1.1019 0.9402 1.2914 (Odds Ratio) Logit 1.0739 0.9142 1.2616 Cohort Mantel-Haenszel 1.0268 0.9821 1.0736 (Col1 Risk) Logit 1.0065 0.9746 1.0394 Cohort Mantel-Haenszel 0.9466 0.8681 1.0323 (Col2 Risk) Logit 0.8677 0.8056 0.9346 Breslow-Day Test for Homogeneity of the Odds Ratios ------------------------------ Chi-Square 18.8330 DF 5 Pr > ChiSq 0.0021 Total Sample Size = 4526 The SAS System The FREQ Procedure Table of S by A S A Frequency| Percent | Row Pct | Col Pct |Reject |Accept | Total ---------+--------+--------+ Male | 1492 | 1199 | 2691 | 32.97 | 26.49 | 59.46 | 55.44 | 44.56 | | 53.86 | 68.28 | ---------+--------+--------+ Female | 1278 | 557 | 1835 | 28.24 | 12.31 | 40.54 | 69.65 | 30.35 | | 46.14 | 31.72 | ---------+--------+--------+ Total 2770 1756 4526 61.20 38.80 100.00 Statistics for Table of S by A Statistic DF Value Prob ------------------------------------------------------ Chi-Square 1 92.6704 <.0001 Likelihood Ratio Chi-Square 1 93.9232 <.0001 Continuity Adj. Chi-Square 1 92.0733 <.0001 Mantel-Haenszel Chi-Square 1 92.6499 <.0001 Phi Coefficient -0.1431 Contingency Coefficient 0.1416 Cramer's V -0.1431 Fisher's Exact Test ---------------------------------- Cell (1,1) Frequency (F) 1492 Left-sided Pr <= F 2.248E-22 Right-sided Pr >= F 1.0000 Table Probability (P) 1.037E-22 Two-sided Pr <= P 3.642E-22 Estimates of the Relative Risk (Row1/Row2) Type of Study Value 95% Confidence Limits ----------------------------------------------------------------- Case-Control (Odds Ratio) 0.5423 0.4785 0.6147 Cohort (Col1 Risk) 0.7961 0.7608 0.8330 Cohort (Col2 Risk) 1.4679 1.3535 1.5919 Sample Size = 4526 The SAS System The GENMOD Procedure Model Information Data Set WORK.BERKELEY Distribution Poisson Link Function Log Dependent Variable count Observations Used 24 Class Level Information Class Levels Values D 6 DeptA DeptB DeptC DeptD DeptE DeptF S 2 Male Female A 2 Reject Accept Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 16 2097.1867 131.0742 Scaled Deviance 16 2097.1867 131.0742 Pearson Chi-Square 16 1999.5526 124.9720 Scaled Pearson X2 16 1999.5526 124.9720 Log Likelihood 19463.9137 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Confidence Chi- Parameter DF Estimate Error Limits Square Intercept 1 4.7213 0.0455 4.6320 4.8105 10752.3 D DeptA 1 0.2675 0.0497 0.1701 0.3650 28.95 D DeptB 1 -0.1993 0.0558 -0.3086 -0.0900 12.77 D DeptC 1 0.2513 0.0499 0.1535 0.3491 25.37 D DeptD 1 0.1037 0.0516 0.0025 0.2048 4.04 D DeptE 1 -0.2010 0.0558 -0.3103 -0.0916 12.98 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 D DeptA <.0001 D DeptB 0.0004 D DeptC <.0001 D DeptD 0.0445 D DeptE 0.0003 The SAS System The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Confidence Chi- Parameter DF Estimate Error Limits Square D DeptF 0 0.0000 0.0000 0.0000 0.0000 . S Male 1 0.3829 0.0303 0.3235 0.4422 159.93 S Female 0 0.0000 0.0000 0.0000 0.0000 . A Reject 1 0.4558 0.0305 0.3960 0.5156 223.28 A Accept 0 0.0000 0.0000 0.0000 0.0000 . Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq D DeptF . S Male <.0001 S Female . A Reject <.0001 A Accept . Scale NOTE: The scale parameter was held fixed. The SAS System The GENMOD Procedure Model Information Data Set WORK.BERKELEY Distribution Poisson Link Function Log Dependent Variable count Observations Used 24 Class Level Information Class Levels Values D 6 DeptA DeptB DeptC DeptD DeptE DeptF S 2 Male Female A 2 Reject Accept Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 11 876.5719 79.6884 Scaled Deviance 11 876.5719 79.6884 Pearson Chi-Square 11 797.0682 72.4607 Scaled Pearson X2 11 797.0682 72.4607 Log Likelihood 20074.2211 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 4.8851 0.0573 4.7728 4.9974 7273.23 D DeptA 1 -1.1498 0.1104 -1.3662 -0.9333 108.43 D DeptB 1 -2.6130 0.2072 -3.0191 -2.2069 159.04 D DeptC 1 0.5533 0.0680 0.4201 0.6865 66.28 D DeptD 1 0.0950 0.0748 -0.0516 0.2417 1.61 D DeptE 1 0.1419 0.0740 -0.0031 0.2870 3.68 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 D DeptA <.0001 D DeptB <.0001 D DeptC <.0001 D DeptD 0.2040 D DeptE 0.0551 The SAS System The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square D DeptF 0 0.0000 0.0000 0.0000 0.0000 . S Male 1 0.0897 0.0749 -0.0572 0.2365 1.43 S Female 0 0.0000 0.0000 0.0000 0.0000 . A Reject 1 0.4558 0.0305 0.3960 0.5156 223.28 A Accept 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptA Male 1 1.9436 0.1268 1.6950 2.1921 234.84 D*S DeptA Female 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptB Male 1 3.0194 0.2177 2.5927 3.4461 192.34 D*S DeptB Female 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptC Male 1 -0.6911 0.1019 -0.8907 -0.4914 46.02 D*S DeptC Female 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptD Male 1 0.0165 0.1033 -0.1861 0.2190 0.03 D*S DeptD Female 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptE Male 1 -0.8112 0.1157 -1.0381 -0.5844 49.14 D*S DeptE Female 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptF Male 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptF Female 0 0.0000 0.0000 0.0000 0.0000 . Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq D DeptF . S Male 0.2312 S Female . A Reject <.0001 A Accept . D*S DeptA Male <.0001 D*S DeptA Female . D*S DeptB Male <.0001 D*S DeptB Female . D*S DeptC Male <.0001 D*S DeptC Female . D*S DeptD Male 0.8734 D*S DeptD Female . D*S DeptE Male <.0001 D*S DeptE Female . D*S DeptF Male . D*S DeptF Female . Scale NOTE: The scale parameter was held fixed. The SAS System The GENMOD Procedure Model Information Data Set WORK.BERKELEY Distribution Poisson Link Function Log Dependent Variable count Observations Used 24 Class Level Information Class Levels Values D 6 DeptA DeptB DeptC DeptD DeptE DeptF S 2 Male Female A 2 Reject Accept Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 10 782.6487 78.2649 Scaled Deviance 10 782.6487 78.2649 Pearson Chi-Square 10 714.3039 71.4304 Scaled Pearson X2 10 714.3039 71.4304 Log Likelihood 20121.1827 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 4.6396 0.0647 4.5129 4.7664 5146.24 D DeptA 1 -1.1498 0.1104 -1.3662 -0.9333 108.43 D DeptB 1 -2.6130 0.2072 -3.0191 -2.2069 159.04 D DeptC 1 0.5533 0.0680 0.4201 0.6865 66.28 D DeptD 1 0.0950 0.0748 -0.0516 0.2417 1.61 D DeptE 1 0.1419 0.0740 -0.0031 0.2870 3.68 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 D DeptA <.0001 D DeptB <.0001 D DeptC <.0001 D DeptD 0.2040 D DeptE 0.0551 The SAS System The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square D DeptF 0 0.0000 0.0000 0.0000 0.0000 . S Male 1 0.4735 0.0856 0.3057 0.6413 30.60 S Female 0 0.0000 0.0000 0.0000 0.0000 . A Reject 1 0.8305 0.0508 0.7310 0.9300 267.56 A Accept 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptA Male 1 1.9436 0.1268 1.6950 2.1921 234.84 D*S DeptA Female 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptB Male 1 3.0194 0.2177 2.5927 3.4461 192.34 D*S DeptB Female 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptC Male 1 -0.6911 0.1019 -0.8907 -0.4914 46.02 D*S DeptC Female 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptD Male 1 0.0165 0.1033 -0.1861 0.2190 0.03 D*S DeptD Female 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptE Male 1 -0.8112 0.1157 -1.0381 -0.5844 49.14 D*S DeptE Female 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptF Male 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptF Female 0 0.0000 0.0000 0.0000 0.0000 . S*A Male Reject 1 -0.6119 0.0639 -0.7371 -0.4866 91.71 S*A Male Accept 0 0.0000 0.0000 0.0000 0.0000 . S*A Female Reject 0 0.0000 0.0000 0.0000 0.0000 . S*A Female Accept 0 0.0000 0.0000 0.0000 0.0000 . Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq D DeptF . S Male <.0001 S Female . A Reject <.0001 A Accept . D*S DeptA Male <.0001 D*S DeptA Female . D*S DeptB Male <.0001 D*S DeptB Female . D*S DeptC Male <.0001 D*S DeptC Female . D*S DeptD Male 0.8734 D*S DeptD Female . D*S DeptE Male <.0001 D*S DeptE Female . D*S DeptF Male . D*S DeptF Female . S*A Male Reject <.0001 S*A Male Accept . S*A Female Reject . S*A Female Accept . Scale The SAS System The GENMOD Procedure NOTE: The scale parameter was held fixed. The SAS System The GENMOD Procedure Model Information Data Set WORK.BERKELEY Distribution Poisson Link Function Log Dependent Variable count Observations Used 24 Class Level Information Class Levels Values D 6 DeptA DeptB DeptC DeptD DeptE DeptF S 2 Male Female A 2 Reject Accept Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 5 20.2251 4.0450 Scaled Deviance 5 20.2251 4.0450 Pearson Chi-Square 5 18.8317 3.7663 Scaled Pearson X2 5 18.8317 3.7663 Log Likelihood 20502.3945 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Intercept 1 3.1359 0.1567 2.8287 3.4431 400.25 D DeptA 1 1.1361 0.1820 0.7794 1.4928 38.97 D DeptB 1 -0.3421 0.2533 -0.8385 0.1543 1.82 D DeptC 1 2.2236 0.1649 1.9004 2.5467 181.85 D DeptD 1 1.7479 0.1682 1.4183 2.0775 108.04 D DeptE 1 1.4816 0.1762 1.1363 1.8270 70.70 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 D DeptA <.0001 D DeptB 0.1768 D DeptC <.0001 D DeptD <.0001 D DeptE <.0001 The SAS System The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square D DeptF 0 0.0000 0.0000 0.0000 0.0000 . S Male 1 -0.0008 0.1064 -0.2094 0.2078 0.00 S Female 0 0.0000 0.0000 0.0000 0.0000 . A Reject 1 2.6261 0.1577 2.3170 2.9353 277.18 A Accept 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptA Male 1 2.0004 0.1357 1.7345 2.2664 217.35 D*S DeptA Female 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptB Male 1 3.0753 0.2229 2.6385 3.5121 190.43 D*S DeptB Female 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptC Male 1 -0.6637 0.1044 -0.8682 -0.4592 40.45 D*S DeptC Female 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptD Male 1 0.0432 0.1058 -0.1640 0.2505 0.17 D*S DeptD Female 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptE Male 1 -0.7934 0.1167 -1.0221 -0.5648 46.25 D*S DeptE Female 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptF Male 0 0.0000 0.0000 0.0000 0.0000 . D*S DeptF Female 0 0.0000 0.0000 0.0000 0.0000 . D*A DeptA Reject 1 -3.3053 0.1700 -3.6384 -2.9721 378.17 D*A DeptA Accept 0 0.0000 0.0000 0.0000 0.0000 . D*A DeptB Reject 1 -3.2616 0.1788 -3.6120 -2.9113 332.89 D*A DeptB Accept 0 0.0000 0.0000 0.0000 0.0000 . D*A DeptC Reject 1 -2.0444 0.1679 -2.3734 -1.7153 148.31 D*A DeptC Accept 0 0.0000 0.0000 0.0000 0.0000 . D*A DeptD Reject 1 -2.0174 0.1699 -2.3504 -1.6845 141.01 D*A DeptD Accept 0 0.0000 0.0000 0.0000 0.0000 . D*A DeptE Reject 1 -1.5678 0.1804 -1.9214 -1.2141 75.49 D*A DeptE Accept 0 0.0000 0.0000 0.0000 0.0000 . D*A DeptF Reject 0 0.0000 0.0000 0.0000 0.0000 . D*A DeptF Accept 0 0.0000 0.0000 0.0000 0.0000 . S*A Male Reject 1 0.0967 0.0808 -0.0617 0.2551 1.43 S*A Male Accept 0 0.0000 0.0000 0.0000 0.0000 . S*A Female Reject 0 0.0000 0.0000 0.0000 0.0000 . S*A Female Accept 0 0.0000 0.0000 0.0000 0.0000 . Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq D DeptF . S Male 0.9941 S Female . A Reject <.0001 A Accept . D*S DeptA Male <.0001 D*S DeptA Female . D*S DeptB Male <.0001 D*S DeptB Female . D*S DeptC Male <.0001 D*S DeptC Female . The SAS System The GENMOD Procedure Analysis Of Parameter Estimates Parameter Pr > ChiSq D*S DeptD Male 0.6826 D*S DeptD Female . D*S DeptE Male <.0001 D*S DeptE Female . D*S DeptF Male . D*S DeptF Female . D*A DeptA Reject <.0001 D*A DeptA Accept . D*A DeptB Reject <.0001 D*A DeptB Accept . D*A DeptC Reject <.0001 D*A DeptC Accept . D*A DeptD Reject <.0001 D*A DeptD Accept . D*A DeptE Reject <.0001 D*A DeptE Accept . D*A DeptF Reject . D*A DeptF Accept . S*A Male Reject 0.2313 S*A Male Accept . S*A Female Reject . S*A Female Accept . Scale NOTE: The scale parameter was held fixed. The SAS System The GENMOD Procedure Model Information Data Set WORK.BERKELEY Distribution Poisson Link Function Log Dependent Variable count Observations Used 24 Class Level Information Class Levels Values D 6 DeptA DeptB DeptC DeptD DeptE DeptF S 2 Male Female A 2 Reject Accept Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 0 0.0000 . Scaled Deviance 0 0.0000 . Pearson Chi-Square 0 0.0000 . Scaled Pearson X2 0 0.0000 . Log Likelihood 20512.5071 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Parameter DF Estimate Error Confidence Limits Intercept 1 3.1781 0.2041 2.7780 3.5781 D DeptA 1 1.3106 0.2300 0.8598 1.7614 D DeptB 1 -0.3448 0.3170 -0.9662 0.2765 D DeptC 1 2.1302 0.2159 1.7070 2.5534 D DeptD 1 1.6971 0.2220 1.2620 2.1323 D DeptE 1 1.3652 0.2287 0.9170 1.8135 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq Intercept 242.40 <.0001 D DeptA 32.47 <.0001 D DeptB 1.18 0.2767 D DeptC 97.34 <.0001 D DeptD 58.42 <.0001 D DeptE 35.63 <.0001 The SAS System The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Parameter DF Estimate Error Confidence Limits D DeptF 0 0.0000 0.0000 0.0000 0.0000 S Male 1 -0.0870 0.2952 -0.6655 0.4915 S Female 0 0.0000 0.0000 0.0000 0.0000 A Reject 1 2.5808 0.2117 2.1659 2.9958 A Accept 0 0.0000 0.0000 0.0000 0.0000 D*S DeptA Male 1 1.8367 0.3167 1.2159 2.4575 D*S DeptA Female 0 0.0000 0.0000 0.0000 0.0000 D*S DeptB Male 1 3.1203 0.3857 2.3643 3.8763 D*S DeptB Female 0 0.0000 0.0000 0.0000 0.0000 D*S DeptC Male 1 -0.4338 0.3169 -1.0548 0.1873 D*S DeptC Female 0 0.0000 0.0000 0.0000 0.0000 D*S DeptD Male 1 0.1463 0.3193 -0.4795 0.7721 D*S DeptD Female 0 0.0000 0.0000 0.0000 0.0000 D*S DeptE Male 1 -0.4860 0.3415 -1.1553 0.1834 D*S DeptE Female 0 0.0000 0.0000 0.0000 0.0000 D*S DeptF Male 0 0.0000 0.0000 0.0000 0.0000 D*S DeptF Female 0 0.0000 0.0000 0.0000 0.0000 D*A DeptA Reject 1 -4.1250 0.3297 -4.7712 -3.4789 D*A DeptA Accept 0 0.0000 0.0000 0.0000 0.0000 D*A DeptB Reject 1 -3.3346 0.4782 -4.2718 -2.3974 D*A DeptB Accept 0 0.0000 0.0000 0.0000 0.0000 D*A DeptC Reject 1 -1.9204 0.2288 -2.3688 -1.4721 D*A DeptC Accept 0 0.0000 0.0000 0.0000 0.0000 D*A DeptD Reject 1 -1.9589 0.2378 -2.4250 -1.4928 D*A DeptD Accept 0 0.0000 0.0000 0.0000 0.0000 D*A DeptE Reject 1 -1.4237 0.2425 -1.8990 -0.9484 D*A DeptE Accept 0 0.0000 0.0000 0.0000 0.0000 D*A DeptF Reject 0 0.0000 0.0000 0.0000 0.0000 D*A DeptF Accept 0 0.0000 0.0000 0.0000 0.0000 S*A Male Reject 1 0.1889 0.3052 -0.4092 0.7870 S*A Male Accept 0 0.0000 0.0000 0.0000 0.0000 S*A Female Reject 0 0.0000 0.0000 0.0000 0.0000 S*A Female Accept 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptA Male Reject 1 0.8632 0.4027 0.0740 1.6524 D*S*A DeptA Male Accept 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptA Female Reject 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptA Female Accept 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptB Male Reject 1 0.0311 0.5335 -1.0145 1.0767 D*S*A DeptB Male Accept 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptB Female Reject 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptB Female Accept 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptC Male Reject 1 -0.3138 0.3374 -0.9751 0.3475 D*S*A DeptC Male Accept 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptC Female Reject 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptC Female Accept 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptD Male Reject 1 -0.1177 0.3401 -0.7842 0.5488 D*S*A DeptD Male Accept 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptD Female Reject 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptD Female Accept 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptE Male Reject 1 -0.3891 0.3650 -1.1045 0.3263 D*S*A DeptE Male Accept 0 0.0000 0.0000 0.0000 0.0000 The SAS System The GENMOD Procedure Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq D DeptF . . S Male 0.09 0.7682 S Female . . A Reject 148.61 <.0001 A Accept . . D*S DeptA Male 33.63 <.0001 D*S DeptA Female . . D*S DeptB Male 65.44 <.0001 D*S DeptB Female . . D*S DeptC Male 1.87 0.1710 D*S DeptC Female . . D*S DeptD Male 0.21 0.6468 D*S DeptD Female . . D*S DeptE Male 2.03 0.1547 D*S DeptE Female . . D*S DeptF Male . . D*S DeptF Female . . D*A DeptA Reject 156.56 <.0001 D*A DeptA Accept . . D*A DeptB Reject 48.63 <.0001 D*A DeptB Accept . . D*A DeptC Reject 70.48 <.0001 D*A DeptC Accept . . D*A DeptD Reject 67.85 <.0001 D*A DeptD Accept . . D*A DeptE Reject 34.47 <.0001 D*A DeptE Accept . . D*A DeptF Reject . . D*A DeptF Accept . . S*A Male Reject 0.38 0.5359 S*A Male Accept . . S*A Female Reject . . S*A Female Accept . . D*S*A DeptA Male Reject 4.60 0.0321 D*S*A DeptA Male Accept . . D*S*A DeptA Female Reject . . D*S*A DeptA Female Accept . . D*S*A DeptB Male Reject 0.00 0.9535 D*S*A DeptB Male Accept . . D*S*A DeptB Female Reject . . D*S*A DeptB Female Accept . . D*S*A DeptC Male Reject 0.87 0.3523 D*S*A DeptC Male Accept . . D*S*A DeptC Female Reject . . D*S*A DeptC Female Accept . . D*S*A DeptD Male Reject 0.12 0.7292 D*S*A DeptD Male Accept . . D*S*A DeptD Female Reject . . D*S*A DeptD Female Accept . . D*S*A DeptE Male Reject 1.14 0.2864 D*S*A DeptE Male Accept . . The SAS System The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Parameter DF Estimate Error Confidence Limits D*S*A DeptE Female Reject 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptE Female Accept 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptF Male Reject 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptF Male Accept 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptF Female Reject 0 0.0000 0.0000 0.0000 0.0000 D*S*A DeptF Female Accept 0 0.0000 0.0000 0.0000 0.0000 Scale 0 1.0000 0.0000 1.0000 1.0000 Analysis Of Parameter Estimates Chi- Parameter Square Pr > ChiSq D*S*A DeptE Female Reject . . D*S*A DeptE Female Accept . . D*S*A DeptF Male Reject . . D*S*A DeptF Male Accept . . D*S*A DeptF Female Reject . . D*S*A DeptF Female Accept . . Scale NOTE: The scale parameter was held fixed.