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Table 4 Hosmer and Lemeshow and goodness-of-fit test for the multivariable logistic regression model

From: To develop a regional ICU mortality prediction model during the first 24 h of ICU admission utilizing MODS and NEMS with six other independent variables from the Critical Care Information System (CCIS) Ontario, Canada

Partition for the Hosmer and Lemeshow test

 

Mortality = 1

Mortality = 0

Group

Range of predicted mortality probability

Total

Observed

Expected

Observed

Expected

1

0–3.58 %

433

11

9.73

422

423.27

2

3.59–6.26 %

432

21

22.03

411

409.97

3

6.27–9.56 %

432

31

33.91

401

398.09

4

9.57–13.06 %

434

45

49.05

389

384.95

5

13.07–18.24 %

432

66

66.83

366

365.17

6

18.25–23.35 %

432

91

90.61

341

341.49

7

23.36–28.25 %

432

108

109.35

324

320.84

8

28.26–39.11 %

438

174

149.02

264

288.98

9

39.12–49.38 %

435

190

190.70

245

244.30

10

49.39–94.08 %

417

249

262.96

168

154.04

Hosmer and Lemeshow goodness-of-fit test

Chi-square 9.3599

p value 0.3128