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BioMed Research International
/
2013
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Article
/
Tab 4
/
Research Article
A Novel Differential Predict Model Based on Matrix-Assisted Laser Ionization Time-of-Flight Mass Spectrometry and Serum Ferritin for Acute Graft-versus-Host Disease
Table 4
Parameters in predict models for aGVHD and non-GVHD.
Variables in the equation
Classification table
Stage
S.E.
Wald
df
Sig.
Exp (
B
)
95% C.I. for EXP (
B
)
Percentage correct
Lower
Upper
Stage 2
3245.6
−.002
.001
9.105
1
.003
.998
.997
.999
Disease
Non-GVHD
64.3
aGVHD
86.4
Constant
2.346
.729
10.341
1
.001
10.442
Overall percentage
77.8
Stage 3
1264.6
−.021
.008
6.762
1
.009
.979
.964
.995
Disease
Non-GVHD
78.1
2740.8
.097
.023
18.145
1
.000
1.101
1.054
1.152
aGVHD
95.3
2935.4
−.012
.003
17.430
1
.000
.989
.983
.994
Constant
−1.225
.922
1.765
1
.184
.294
Overall percentage
90.6