Statistical Methods - Text Mining Techniques for Healthcare Provider Quality Determination - page 136

Table 7. Classification table for logistic regression (Table 15 from Chapter 3)

Classification Table

Prob
Level

Correct Incorrect Percentages

Event Non-

Event

Event Non-

Event

Correct Sensi-

tivity

Speci-
ficity

False
POS

False
NEG

0.480

782E4 0 167E3 0 97.9 100.0 0.0 2.1 .

0.500 781E4 4907 162E3 11633 97.8 99.9 2.9 2.0 70.3

0.520 781E4 4907 162E3 11633 97.8 99.9 2.9 2.0 70.3

0.540 781E4 4907 162E3 11633 97.8 99.9 2.9 2.0 70.3

0.560 781E4 4907 162E3 11633 97.8 99.9 2.9 2.0 70.3

0.580 781E4 4907 162E3 11633 97.8 99.9 2.9 2.0 70.3

0.600 781E4 4907 162E3 11633 97.8 99.9 2.9 2.0 70.3

0.620 781E4 4907 162E3 11633 97.8 99.9 2.9 2.0 70.3

0.640 781E4 4907 162E3 11633 97.8 99.9 2.9 2.0 70.3

0.660

781E4 4907 162E3 11633 97.8 99.9 2.9 2.0 70.3

0.680 781E4 4907 162E3 11633 97.8 99.9 2.9 2.0 70.3

0.700

781E4 4907 162E3 11633 97.8 99.9 2.9 2.0 70.3

0.720 781E4 4907 162E3 11633 97.8 99.9 2.9 2.0 70.3

0.740 776E4 21322 146E3 65076 97.4 99.2 12.8 1.8 75.3

0.760 775E4 26363 141E3 78618 97.3 99.0 15.8 1.8 74.9

0.780 775E4 26363 141E3 78618 97.3 99.0 15.8 1.8 74.9

0.800 775E4 26363 141E3 78618 97.3 99.0 15.8 1.8 74.9

0.820 775E4 26363 141E3 78618 97.3 99.0 15.8 1.8 74.9

0.840 775E4 26363 141E3 78618 97.3 99.0 15.8 1.8 74.9

0.860 775E4 26363 141E3 78618 97.3 99.0 15.8 1.8 74.9

0.880 775E4 26363 141E3 78618 97.3 99.0 15.8 1.8 74.9

0.900 768E4 41608 126E3 149E3 96.6 98.1 24.9 1.6 78.1

0.920

757E4 51297 116E3 258E3 95.3 96.7 30.7 1.5 83.4

0.940 757E4 51297 116E3 258E3 95.3 96.7 30.7 1.5 83.4

0.960 757E4 51297 116E3 258E3 95.3 96.7 30.7 1.5 83.4

0.980 634E4 103E3 64219 149E4 80.6 81.0 61.6 1.0 93.5

1.000 0 167E3 0 782E4 2.1 0.0 100.0 . 97.9

terms of quality. A model that can define a ranking will be “good” regardless of its ability to actually
predict mortality.
Given that the three conditions of pneumonia, septicemia, and immune disorder all have higher
mortality rates compared to patients generally, and patients with two of the three conditions can have a
higer rate still, it is clear that hospitals with higher proportions of such patients will have higher mor-
tality rates. We will examine a random selection of ten hospitals in detail. We will compare their rates
of the three diseases, their overall actual mortality rate in comparison to the predicted value, and how
the ten hospitals would be ranked by this model. Table 8 gives the proportion of death by hospital. The