Table 4 |
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Results of Discriminant function analysis (forward stepwise method) with outcome as the grouping variables. |
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Rows: Observed classifications |
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|
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Columns: Predicted classifications |
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|
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|
Responders |
Partial responders |
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|
% Correct |
p = 0.633 |
p = 0.366 |
|
|
|
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|
Responders |
89.47 |
17 |
2 |
|
Partial responders |
63.64 |
4 |
7 |
|
Total |
80.00 |
21 |
9 |
|
|
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Classification Functions |
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|
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|
Responders |
Partial responders |
(Responders)-(Partial Responders) |
|
|
p = 0.633 |
p = 0.366 |
||
|
|
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|
FT4 |
13.27 |
14.78 |
-1.52 |
|
TSH |
12.21 |
13.19 |
-0.98 |
|
FT3 |
0.80 |
0.06 |
0.74 |
|
TBII |
0.37 |
0.45 |
-0.07 |
|
Constant |
-106.96 |
-127.83 |
20.86 |
|
|
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The analysis succeeded in a 80.00% correct classification of depressed patients on the basis of thyroid indices. If we subtract the two functions, then we obtain the following function: 20.86-1.52*(FT4)-0.98*(TSH)+0.74*(FT3)-0.07*(TBII). When this function takes values above zero, then the respected depressed patient is predicted to be a responder with a 89.47% chance of success. |
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Fountoulakis et al. BMC Psychiatry 2004 4:6 doi:10.1186/1471-244X-4-6 |
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