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Table 5 Parameters and standard errors estimated with the hidden Markov model.

From: Progression of liver cirrhosis to HCC: an application of hidden Markov model

Parameter

Results of model

    

Transition Intensities (with covariates set at their mean values)

â–²

0.0151 (0.0012)

    

â–²

0.0071 (0.0006)

    

â–²

0.0284 (0.0024)

    

Probabilities of misclassification (with covariates set at their mean values)

0.0237 (0.0040)

    

0.1408 (0.0329)

    

Covariates

     
 

Sex

Age class

Charlson Index

Alcohol

HCV

0.7961(0.1377)*

0.4362(0.1202)*

0.1858(0.2036)

-1.3280(0.8806)

-0.5330(0.4792)

-0.0185(0.1662)

0.8667(0.1744)*

-0.1982(0.3543)

-0.2327(0.9073)

-0.4910(0.7100)

-0.1628(0.1485)

0.3437(0.1365)*

0.5391(0.1652)*

0.2792(0.9727)

-0.0214(0.3018)

  1. â–²Instantaneous probability of transitions between the states ( between LC to HCC; between LC to Death; between HCC to Death)
  2. * Significant at alpha = 0.05
  3. (The are the coefficients which weight the contribution of each variable on the probability of transition between states; the minus sign indicates that probabilities decrease if value of covariate increase, the plus sign indicates an increase in transition probabilities if value of covariate increase)