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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