| GENMOD Analysis on Surgical Unit data |
| Model Information | |
|---|---|
| Data Set | WORK.SURG |
| Distribution | Normal |
| Link Function | Identity |
| Dependent Variable | Y |
| Number of Observations Read | 54 |
|---|---|
| Number of Observations Used | 54 |
| Criteria For Assessing Goodness Of Fit | |||
|---|---|---|---|
| Criterion | DF | Value | Value/DF |
| Deviance | 50 | 0.1099 | 0.0022 |
| Scaled Deviance | 50 | 50.0000 | 1.0000 |
| Pearson Chi-Square | 50 | 0.1099 | 0.0022 |
| Scaled Pearson X2 | 50 | 50.0000 | 1.0000 |
| Log Likelihood | 90.6331 | ||
| Full Log Likelihood | 90.6331 | ||
| AIC (smaller is better) | -173.2662 | ||
| AICC (smaller is better) | -172.4498 | ||
| BIC (smaller is better) | -165.3102 | ||
| Algorithm converged. |
| Analysis Of Maximum Likelihood Parameter Estimates | |||||||
|---|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald 95% Confidence Limits | Wald Chi-Square | Pr > ChiSq | |
| Intercept | 1 | 0.4836 | 0.0426 | 0.4001 | 0.5672 | 128.71 | <.0001 |
| X1 | 1 | 0.0692 | 0.0041 | 0.0612 | 0.0772 | 288.17 | <.0001 |
| X2 | 1 | 0.0093 | 0.0004 | 0.0085 | 0.0100 | 590.45 | <.0001 |
| X3 | 1 | 0.0095 | 0.0003 | 0.0089 | 0.0101 | 966.07 | <.0001 |
| Scale | 0 | 0.0469 | 0.0000 | 0.0469 | 0.0469 | ||
| Note: | The scale parameter was estimated by the square root of Pearson's Chi-Square/DOF. |
| Lagrange Multiplier Statistics | ||
|---|---|---|
| Parameter | Chi-Square | Pr > ChiSq |
| Scale | 0.1667 | 0.6831 |
| Assessment Summary | ||||
|---|---|---|---|---|
| Assessment Variable |
Maximum Absolute Value |
Replications | Seed | Pr > MaxAbsVal |
| X1 | 0.0380 | 10000 | 603708000 | 0.1084 |
| GENMOD Analysis on Surgical Unit data |
| Model Information | |
|---|---|
| Data Set | WORK.SURG |
| Distribution | Normal |
| Link Function | Identity |
| Dependent Variable | Y |
| Number of Observations Read | 54 |
|---|---|
| Number of Observations Used | 54 |
| Criteria For Assessing Goodness Of Fit | |||
|---|---|---|---|
| Criterion | DF | Value | Value/DF |
| Deviance | 50 | 0.0940 | 0.0019 |
| Scaled Deviance | 50 | 50.0000 | 1.0000 |
| Pearson Chi-Square | 50 | 0.0940 | 0.0019 |
| Scaled Pearson X2 | 50 | 50.0000 | 1.0000 |
| Log Likelihood | 94.8316 | ||
| Full Log Likelihood | 94.8316 | ||
| AIC (smaller is better) | -181.6632 | ||
| AICC (smaller is better) | -180.8469 | ||
| BIC (smaller is better) | -173.7072 | ||
| Algorithm converged. |
| Analysis Of Maximum Likelihood Parameter Estimates | |||||||
|---|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald 95% Confidence Limits | Wald Chi-Square | Pr > ChiSq | |
| Intercept | 1 | 0.1844 | 0.0504 | 0.0857 | 0.2832 | 13.41 | 0.0003 |
| LogX1 | 1 | 0.9121 | 0.0491 | 0.8158 | 1.0083 | 345.06 | <.0001 |
| X2 | 1 | 0.0095 | 0.0004 | 0.0088 | 0.0102 | 728.63 | <.0001 |
| X3 | 1 | 0.0096 | 0.0003 | 0.0090 | 0.0101 | 1139.76 | <.0001 |
| Scale | 0 | 0.0434 | 0.0000 | 0.0434 | 0.0434 | ||
| Note: | The scale parameter was estimated by the square root of Pearson's Chi-Square/DOF. |
| Lagrange Multiplier Statistics | ||
|---|---|---|
| Parameter | Chi-Square | Pr > ChiSq |
| Scale | 0.1667 | 0.6831 |
| Assessment Summary | ||||
|---|---|---|---|---|
| Assessment Variable |
Maximum Absolute Value |
Replications | Seed | Pr > MaxAbsVal |
| LogX1 | 0.0204 | 10000 | 603708000 | 0.4777 |