Mixed Effects Model for log{FEV1/(Ht**2)} with Random Intercept
Six Cities Study

The Mixed Procedure

Model Information
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
Class Levels Values
id 299 not printed

Dimensions
Covariance Parameters 2
Columns in X 2
Columns in Z Per Subject 1
Subjects 299
Max Obs Per Subject 12

Number of Observations
Number of Observations Read 1993
Number of Observations Used 1993
Number of Observations Not Used 0

Iteration History
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
-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
Effect Num DF Den DF Chi-Square F Value Pr > ChiSq Pr > F
age 1 1693 3967.87 3967.87 <.0001 <.0001