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

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

295

Observations Not Used

0

Total Observations

295

Subjects

59

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

2389.89383

1.1213

0.1244

0.0718

-0.115

0.2

0

0

1035.75052

1.1213

0.1244

0.0718

-0.115

0.4

0

0

1015.0326

1.1213

0.1244

0.0718

-0.115

0.6

0

0

1012.08586

1.1213

0.1244

0.0718

-0.115

0.8

0

0

1012.84609

1.1213

0.1244

0.0718

-0.115

1

0

0

1014.69701

1.1213

0.1244

0.0718

-0.115

0

0.2

0

1457.05866

1.1213

0.1244

0.0718

-0.115

0.2

0.2

0

946.672423

1.1213

0.1244

0.0718

-0.115

0.4

0.2

0

932.319714

1.1213

0.1244

0.0718

-0.115

0.6

0.2

0

931.236945

1.1213

0.1244

0.0718

-0.115

0.8

0.2

0

932.857916

1.1213

0.1244

0.0718

-0.115

1

0.2

0

935.198

1.1213

0.1244

0.0718

-0.115

0

0.4

0

1427.41194

1.1213

0.1244

0.0718

-0.115

0.2

0.4

0

946.169637

1.1213

0.1244

0.0718

-0.115

0.4

0.4

0

932.524815

1.1213

0.1244

0.0718

-0.115

0.6

0.4

0

931.635202

1.1213

0.1244

0.0718

-0.115

0.8

0.4

0

933.336091

1.1213

0.1244

0.0718

-0.115

1

0.4

0

935.716799

1.1213

0.1244

0.0718

-0.115

0

0.6

0

1419.56258

1.1213

0.1244

0.0718

-0.115

0.2

0.6

0

949.034202

1.1213

0.1244

0.0718

-0.115

0.4

0.6

0

935.702247

1.1213

0.1244

0.0718

-0.115

0.6

0.6

0

934.898051

1.1213

0.1244

0.0718

-0.115

0.8

0.6

0

936.633504

1.1213

0.1244

0.0718

-0.115

1

0.6

0

939.031209

1.1213

0.1244

0.0718

-0.115

0

0.8

0

1417.22116

1.1213

0.1244

0.0718

-0.115

0.2

0.8

0

952.314329

1.1213

0.1244

0.0718

-0.115

0.4

0.8

0

939.162429

1.1213

0.1244

0.0718

-0.115

0.6

0.8

0

938.407697

1.1213

0.1244

0.0718

-0.115

0.8

0.8

0

940.16304

1.1213

0.1244

0.0718

-0.115

1

0.8

0

942.5704

1.1213

0.1244

0.0718

-0.115

0

1

0

1416.91642

1.1213

0.1244

0.0718

-0.115

0.2

1

0

955.486634

1.1213

0.1244

0.0718

-0.115

0.4

1

0

942.452802

1.1213

0.1244

0.0718

-0.115

0.6

1

0

941.73073

1.1213

0.1244

0.0718

-0.115

0.8

1

0

943.499201

1.1213

0.1244

0.0718

-0.115

1

1

0

945.912902

 

Iteration History

Iter

 

Calls

NegLogLike

Diff

MaxGrad

Slope

1

 

3

926.152102

5.084843

12.00163

-416.31

2

 

5

925.933812

0.21829

13.61071

-11.7582

3

 

6

925.819654

0.114158

11.49685

-5.02778

4

 

7

925.620274

0.199381

7.70171

-3.2169

5

 

8

925.458053

0.162221

8.582898

-7.74709

6

 

9

925.242355

0.215698

5.416426

-4.34749

7

 

10

925.022545

0.21981

3.43752

-1.42986

8

 

12

924.972964

0.049582

1.224833

-0.10048

9

 

14

924.968495

0.004468

0.181362

-0.01157

10

 

16

924.968047

0.000448

0.137067

-0.00168

11

 

18

924.967965

0.000082

0.009213

-0.0002

12

 

20

924.967965

6.796E-7

0.000377

-1.41E-6

 

NOTE: GCONV convergence criterion satisfied.

 

Fit Statistics

-2 Log Likelihood

1849.9

AIC (smaller is better)

1863.9

AICC (smaller is better)

1864.3

BIC (smaller is better)

1878.5

 

Parameter Estimates

Parameter

Estimate

Standard Error

DF

t Value

Pr > |t|

Alpha

Lower

Upper

Gradient

beta1

1.0707

0.1406

57

7.62

<.0001

0.05

0.7892

1.3521

-0.00016

beta2

-0.00039

0.1097

57

-0.00

0.9971

0.05

-0.2201

0.2193

-0.00038

beta3

0.05131

0.1931

57

0.27

0.7914

0.05

-0.3353

0.4379

0.000088

beta4

-0.3065

0.1513

57

-2.03

0.0474

0.05

-0.6094

-0.00361

-0.00022

s2u1

0.5010

0.1010

57

4.96

<.0001

0.05

0.2988

0.7032

0.00007

s2u2

0.2334

0.06075

57

3.84

0.0003

0.05

0.1117

0.3550

-0.00003

cu12

0.05408

0.05589

57

0.97

0.3373

0.05

-0.05784

0.1660

0.000327