Mixed Effects Log-linear Regression Model (Random Intercept and Slope)

Analysis Excluding Patient 49 (Potential Outlier)

Clinical Trial of Epileptic Patients

 

The NLMIXED Procedure

 

Specifications

Data Set

WORK.SEIZURE

Dependent Variable

Y

Distribution for Dependent Variable

Poisson

Random Effects

u1 u2

Distribution for Random Effects

Normal

Subject Variable

Id

Optimization Technique

Dual Quasi-Newton

Integration Method

Adaptive Gaussian Quadrature

 

Dimensions

Observations Used

290

Observations Not Used

0

Total Observations

290

Subjects

58

Max Obs Per Subject

5

Parameters

7

Quadrature Points

50

 

Parameters

beta1

beta2

beta3

beta4

s2u1

s2u2

cu12

NegLogLike

1.1213

0.1244

0.0718

-0.115

0

0

0

1771.18019

1.1213

0.1244

0.0718

-0.115

0.2

0

0

975.322584

1.1213

0.1244

0.0718

-0.115

0.4

0

0

959.914013

1.1213

0.1244

0.0718

-0.115

0.6

0

0

958.663874

1.1213

0.1244

0.0718

-0.115

0.8

0

0

960.232556

1.1213

0.1244

0.0718

-0.115

1

0

0

962.544129

1.1213

0.1244

0.0718

-0.115

0

0.2

0

1279.83589

1.1213

0.1244

0.0718

-0.115

0.2

0.2

0

912.380805

1.1213

0.1244

0.0718

-0.115

0.4

0.2

0

901.394355

1.1213

0.1244

0.0718

-0.115

0.6

0.2

0

901.372907

1.1213

0.1244

0.0718

-0.115

0.8

0.2

0

903.487076

1.1213

0.1244

0.0718

-0.115

1

0.2

0

906.099422

1.1213

0.1244

0.0718

-0.115

0

0.4

0

1257.0264

1.1213

0.1244

0.0718

-0.115

0.2

0.4

0

912.184035

1.1213

0.1244

0.0718

-0.115

0.4

0.4

0

901.857245

1.1213

0.1244

0.0718

-0.115

0.6

0.4

0

902.013235

1.1213

0.1244

0.0718

-0.115

0.8

0.4

0

904.19953

1.1213

0.1244

0.0718

-0.115

1

0.4

0

906.847848

1.1213

0.1244

0.0718

-0.115

0

0.6

0

1251.39584

1.1213

0.1244

0.0718

-0.115

0.2

0.6

0

915.070522

1.1213

0.1244

0.0718

-0.115

0.4

0.6

0

905.039947

1.1213

0.1244

0.0718

-0.115

0.6

0.6

0

905.275927

1.1213

0.1244

0.0718

-0.115

0.8

0.6

0

907.494096

1.1213

0.1244

0.0718

-0.115

1

0.6

0

910.157805

1.1213

0.1244

0.0718

-0.115

0

0.8

0

1250.12641

1.1213

0.1244

0.0718

-0.115

0.2

0.8

0

918.320524

1.1213

0.1244

0.0718

-0.115

0.4

0.8

0

908.461566

1.1213

0.1244

0.0718

-0.115

0.6

0.8

0

908.74426

1.1213

0.1244

0.0718

-0.115

0.8

0.8

0

910.980957

1.1213

0.1244

0.0718

-0.115

1

0.8

0

913.653507

1.1213

0.1244

0.0718

-0.115

0

1

0

1250.44121

1.1213

0.1244

0.0718

-0.115

0.2

1

0

921.449939

1.1213

0.1244

0.0718

-0.115

0.4

1

0

911.703949

1.1213

0.1244

0.0718

-0.115

0.6

1

0

912.017642

1.1213

0.1244

0.0718

-0.115

0.8

1

0

914.266643

1.1213

0.1244

0.0718

-0.115

1

1

0

916.945041

 

Iteration History

Iter

 

Calls

NegLogLike

Diff

MaxGrad

Slope

1

 

3

895.107816

6.265092

12.12678

-423.342

2

 

5

894.353775

0.754041

15.54505

-19.4536

3

 

7

894.146094

0.207681

12.2134

-9.97304

4

 

9

894.02912

0.116974

11.30246

-3.06491

5

 

10

893.879361

0.149759

9.461355

-2.89954

6

 

11

893.755246

0.124115

4.877882

-2.33965

7

 

12

893.564602

0.190644

0.762254

-0.79132

8

 

14

893.550247

0.014355

0.334841

-0.03658

9

 

16

893.548565

0.001683

0.154194

-0.00603

10

 

18

893.548382

0.000183

0.057579

-0.00049

11

 

20

893.548374

7.597E-6

0.011938

-0.00002

12

 

22

893.548373

7.513E-7

0.000343

-1.55E-6

 

NOTE: GCONV convergence criterion satisfied.

 

Fit Statistics

-2 Log Likelihood

1787.1

AIC (smaller is better)

1801.1

AICC (smaller is better)

1801.5

BIC (smaller is better)

1815.5

 

Parameter Estimates

Parameter

Estimate

Standard Error

DF

t Value

Pr > |t|

Alpha

Lower

Upper

Gradient

beta1

1.0692

0.1344

56

7.96

<.0001

0.05

0.8001

1.3384

0.000237

beta2

0.007805

0.1070

56

0.07

0.9421

0.05

-0.2066

0.2222

-0.00007

beta3

-0.00794

0.1860

56

-0.04

0.9661

0.05

-0.3806

0.3647

0.000263

beta4

-0.3461

0.1489

56

-2.33

0.0237

0.05

-0.6443

-0.04791

0.000217

s2u1

0.4529

0.09354

56

4.84

<.0001

0.05

0.2655

0.6403

-0.00034

s2u2

0.2163

0.05870

56

3.68

0.0005

0.05

0.09866

0.3339

-0.00022

cu12

0.01511

0.05290

56

0.29

0.7763

0.05

-0.09087

0.1211

-0.00018