Mixed Effects Model for log{FEV1/(Ht**2)} with Random Intercept |
Six Cities Study |
Model Information | |
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Data Set | WORK.FEV |
Dependent Variable | y |
Covariance Structure | Variance Components |
Subject Effect | id |
Estimation Method | REML |
Residual Variance Method | Profile |
Fixed Effects SE Method | Model-Based |
Degrees of Freedom Method | Containment |
Class Level Information | ||
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Class | Levels | Values |
id | 299 | not printed |
Dimensions | |
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Covariance Parameters | 2 |
Columns in X | 2 |
Columns in Z Per Subject | 1 |
Subjects | 299 |
Max Obs Per Subject | 12 |
Number of Observations | |
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Number of Observations Read | 1993 |
Number of Observations Used | 1993 |
Number of Observations Not Used | 0 |
Iteration History | |||
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Iteration | Evaluations | -2 Res Log Like | Criterion |
0 | 1 | -2932.03205542 | |
1 | 2 | -4477.84505482 | 0.00001245 |
2 | 1 | -4477.89691516 | 0.00000002 |
3 | 1 | -4477.89698419 | 0.00000000 |
Convergence criteria met. |
Estimated G Matrix | |||
---|---|---|---|
Row | Effect | id | Col1 |
1 | Intercept | 1 | 0.009305 |
Covariance Parameter Estimates | |||||
---|---|---|---|---|---|
Cov Parm | Subject | Estimate | Standard Error | Z Value | Pr > Z |
Intercept | id | 0.009305 | 0.000849 | 10.97 | <.0001 |
Residual | 0.004190 | 0.000144 | 29.14 | <.0001 |
Fit Statistics | |
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-2 Res Log Likelihood | -4477.9 |
AIC (smaller is better) | -4473.9 |
AICC (smaller is better) | -4473.9 |
BIC (smaller is better) | -4466.5 |
Solution for Fixed Effects | |||||
---|---|---|---|---|---|
Effect | Estimate | Standard Error | DF | t Value | Pr > |t| |
Intercept | -0.3552 | 0.008179 | 298 | -43.42 | <.0001 |
age | 0.02981 | 0.000473 | 1693 | 62.99 | <.0001 |
Type 3 Tests of Fixed Effects | ||||||
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Effect | Num DF | Den DF | Chi-Square | F Value | Pr > ChiSq | Pr > F |
age | 1 | 1693 | 3967.87 | 3967.87 | <.0001 | <.0001 |