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 |