Marginal Logistic Regression Model
Crossover Trial on Cerebrovascular Deficiency

The GENMOD Procedure

Model Information
Data Set WORK.ECG
Distribution Binomial
Link Function Logit
Dependent Variable y

Number of Observations Read 134
Number of Observations Used 134
Number of Events 42
Number of Trials 134

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

Response Profile
Ordered
Value
y Total
Frequency
1 1 42
2 0 92


PROC GENMOD is modeling the probability that y='1'.

Parameter Information
Parameter Effect
Prm1 Intercept
Prm2 trt
Prm3 period

Algorithm converged.

GEE Model Information
Log Odds Ratio Structure Fully Parameterized Clusters
Subject Effect id (67 levels)
Number of Clusters 67
Correlation Matrix Dimension 2
Maximum Cluster Size 2
Minimum Cluster Size 2

Log Odds Ratio Parameter
Information
Parameter Group
Alpha1 (1, 2)

Algorithm converged.

GEE Fit Criteria
QIC 168.6425
QICu 169.8919

Analysis Of GEE Parameter Estimates
Empirical Standard Error Estimates
Parameter Estimate Standard Error 95% Confidence Limits Z Pr > |Z|
Intercept -1.2433 0.2999 -1.8311 -0.6556 -4.15 <.0001
trt 0.5689 0.2335 0.1112 1.0266 2.44 0.0148
period 0.2951 0.2319 -0.1593 0.7496 1.27 0.2030
Alpha1 3.5617 0.8148 1.9647 5.1587 4.37 <.0001