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Table 6 Results for the goodness of fit for the illness-and-death Markov model

From: Estimation of progression of multi-state chronic disease using the Markov model and prevalence pool concept

Parameter

Observed

Expected

Residual

Overall

   

Negative of first screen

1114

1102

11.998

Positive of first screen

105

117

-11.998

Negative of second screen

227

227.02

-0.016

Positive of second screen

10

8.04

1.9569

Death

8

6.07

1.9254

χ2 = 2.4473 P = 0.2941

   

≥ 50 yrs

   

Negative of first screen

496

483.471

12.5289

Positive of first screen

81

93.529

-12.5289

Negative of second screen

96

96.011

-0.0109

Positive of second screen

6

4.995

1.0046

Death

7

5.447

1.5534

χ2 = 2.6481 P = 0.2661

   

< 50 yrs

   

Negative of first screen

618

617.084

0.9157

Positive of first screen

24

24.916

-0.9157

Negative of second screen

131

131.007

0.0073

Positive of second screen

4

2.775

1.2246

Death

1

0.728

0.2715

χ2 = 0.6765 P = 0.7130

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