Linear Trend Model for FEV1 data (ML)

Vlagtwedde-Vlaardingen Study

 

The Mixed Procedure

 

Model Information

Data Set

WORK.SMOKE

Dependent Variable

fev1

Covariance Structure

Unstructured

Subject Effect

id

Estimation Method

ML

Residual Variance Method

None

Fixed Effects SE Method

Model-Based

Degrees of Freedom Method

Between-Within

 

 

 

Iteration History

Iteration

Evaluations

-2 Log Like

Criterion

0

1

1290.78715377

 

1

3

360.54261175

0.17584010

2

2

325.94284372

0.07662329

3

1

272.70735758

0.03256276

4

1

249.01736703

0.01192793

5

1

240.44621477

0.00272869

6

1

238.59606516

0.00021562

7

1

238.46193618

0.00000174

8

1

238.46090637

0.00000000

 

Convergence criteria met.

 

 

 

Fit Statistics

-2 Log Likelihood

238.5

AIC (smaller is better)

302.5

AICC (smaller is better)

305.3

BIC (smaller is better)

395.0