Multiple Imputation of Missing Blood Lead Levels using MCMC Method
Treatment of Lead Exposed Children (TLC) Trial

The MI Procedure

Model Information
Data Set WORK.TLC
Method MCMC
Multiple Imputation Chain Single Chain
Initial Estimates for MCMC EM Posterior Mode
Start Starting Value
Prior Jeffreys
Number of Imputations 50
Number of Burn-in Iterations 5000
Number of Iterations 500
Seed for random number generator 57313131

Missing Data Patterns
Group trt y1 y2 y3 y4 Freq Percent Group Means
trt y1 y2 y3 y4
1 X X X X X 60 60.00 0.300000 25.813333 21.040000 21.153333 22.698333
2 X X X X . 14 14.00 0.857143 27.857143 15.471429 16.257143 .
3 X X X . X 8 8.00 0.625000 25.150000 16.450000 . 19.650000
4 X X X . . 6 6.00 1.000000 29.300000 15.150000 . .
5 X X . X X 4 4.00 0.500000 25.875000 . 20.200000 21.550000
6 X X . X . 3 3.00 1.000000 27.266667 . 20.266667 .
7 X X . . X 2 2.00 0.500000 23.400000 . . 18.500000
8 X X . . . 3 3.00 1.000000 30.900000 . . .

EM (Posterior Mode) Estimates
_TYPE_ _NAME_ trt y1 y2 y3 y4
MEAN   0.500000 26.406000 19.156691 19.706686 22.432206
COV trt 0.235849 0.063208 -2.595558 -2.056037 -0.629438
COV y1 0.063208 23.338834 17.011601 17.396964 21.818750
COV y2 -2.595558 17.011601 71.635958 56.823410 32.012830
COV y3 -2.056037 17.396964 56.823410 58.773658 27.172597
COV y4 -0.629438 21.818750 32.012830 27.172597 58.692616

Variance Information
Variable Variance DF Relative
Increase
in Variance
Fraction
Missing
Information
Relative
Efficiency
Between Within Total
y2 0.035413 0.764643 0.800764 92.325 0.047239 0.045187 0.999097
y3 0.057276 0.633749 0.692171 87.733 0.092184 0.084669 0.998309
y4 0.171957 0.626177 0.801572 70.591 0.280106 0.220337 0.995613

Parameter Estimates
Variable Mean Std Error 95% Confidence Limits DF Minimum Maximum Mu0 t for H0:
Mean=Mu0
Pr > |t|
y2 19.159804 0.894854 17.38263 20.93698 92.325 18.650950 19.577955 0 21.41 <.0001
y3 19.741783 0.831968 18.08835 21.39521 87.733 19.279948 20.240129 0 23.73 <.0001
y4 22.375402 0.895306 20.59003 24.16077 70.591 21.283250 23.401187 0 24.99 <.0001