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65
15
81
6
11
95
4
12
100
6
Mixed
36
125
33
59
81
6
10
97
8
11
104
11
Men
71
152
67
107
97
3
12
105
10
16
103
7
Women
54
148
56
78
93
9
15
108
10
14
96
10
Total
125
243
129
211
107
15
17
106
13
20
101
13
Table 6.
Results
of test sensitivity and specificity for the various aspects of test accuracy
calculation based on a total of 300 samples. Note that there is no change in the
total number of positive and negative cases for any aspect of accuracy
calculation as a result of the change in regression approach.
Notes on the tables
The Table does not contain the proportion of cases classified as
positive and negative due to the asymmetric nature of certain aspects of
accuracy calculations. For example, the sensitivity and specificity of
diagnosing liver cancer are computed from liver disease incidence statistics
and the sensitivity and specificity of diagnoses of other diseases are
computed from the number of cases detected as positive and negative for the
disease. Therefore the calculation of these aspects of accuracy does not follow
the same pattern. The frequency tables for these aspects of the calculations
are as follows:
As already mentioned, Table 6 does not include the frequency of
the proportion of cases classified as positive and negative in each of the
aspects of accuracy calculations. In this case a sensible workaround is to
refer to Table 7, which shows the same information as Table 6. The tables
for the two most common aspects of accuracy calculation (sensitivity and
specificity) are displayed.
Table 7.
Diagnostic test accuracy in the presence of an unknown prevalence –
The proportion of positive and negative cases.
It should be noted that the table is asymmetric, as already mentioned.
The advantage of Table 7 over Table 6 is that
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