Mixed Effects Logistic Regression Model (Random Intercept)
Crossover Trial on Cerebrovascular Deficiency

The GLIMMIX Procedure

Model Information
Data Set WORK.ECG
Response Variable y
Response Distribution Binomial
Link Function Logit
Variance Function Default
Variance Matrix Blocked By id
Estimation Technique Maximum Likelihood
Likelihood Approximation Gauss-Hermite Quadrature
Degrees of Freedom Method Containment

Class Level Information
Class Levels Values
id 67 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67

Number of Observations Read 134
Number of Observations Used 134

Dimensions
G-side Cov. Parameters 1
Columns in X 3
Columns in Z per Subject 1
Subjects (Blocks in V) 67
Max Obs per Subject 2

Optimization Information
Optimization Technique Dual Quasi-Newton
Parameters in Optimization 4
Lower Boundaries 1
Upper Boundaries 0
Fixed Effects Not Profiled
Starting From GLM estimates
Quadrature Points 100

Iteration History
Iteration Restarts Evaluations Objective
Function
Change Max
Gradient
0 0 4 145.62102663 . 8.368977
1 0 2 144.17243242 1.44859422 4.790921
2 0 2 142.20403539 1.96839702 1.734034
3 0 2 141.01411599 1.18991940 2.738598
4 0 2 139.19008975 1.82402625 2.046427
5 0 4 137.01314705 2.17694270 0.804962
6 0 3 136.45228998 0.56085707 0.988963
7 0 3 136.32877224 0.12351774 0.451713
8 0 3 136.27479205 0.05398019 0.203995
9 0 3 136.26078307 0.01400898 0.046461
10 0 3 136.26037776 0.00040530 0.009275
11 0 3 136.26034823 0.00002954 0.003524
12 0 3 136.26034607 0.00000216 0.00044
13 0 3 136.26034604 0.00000003 0.000132

Convergence criterion (GCONV=1E-8) satisfied.

Fit Statistics
-2 Log Likelihood 136.26
AIC (smaller is better) 144.26
AICC (smaller is better) 144.57
BIC (smaller is better) 153.08
CAIC (smaller is better) 157.08
HQIC (smaller is better) 147.75

Fit Statistics for Conditional Distribution
-2 log L(y | r. effects) 32.27
Pearson Chi-Square 20.60
Pearson Chi-Square / DF 0.15

Estimated G Matrix
Effect Row Col1
Intercept 1 24.4345

Covariance Parameter Estimates
Cov Parm Subject Estimate Standard Error
Intercept id 24.4345 18.8474

Solutions for Fixed Effects
Effect Estimate Standard Error DF t Value Pr > |t|
Intercept -4.0816 1.6710 66 -2.44 0.0173
trt 1.8631 0.9269 65 2.01 0.0486
period 1.0376 0.8189 65 1.27 0.2096

Type III Tests of Fixed Effects
Effect Num DF Den DF F Value Pr > F
trt 1 65 4.04 0.0486
period 1 65 1.61 0.2096