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Table 5 Summary of the converged estimated models

From: Preference heterogeneity in health valuation: a latent class analysis of the Peru EQ-5D-5L values

Model

Log-likelihood

Parameters

Bayesian information criterion (BIC)

Akaike information criterion (AIC)

Consistent Akaike information criterion (AIC)

Conditional logit

 − 19,377.1

22

38,981.67

38,798.12

39,003.67

Heteroskedastic logit

 − 19,041.8

29

38,383.63

38,141.68

38,412.63

Latent class logit (2 classes)

 − 17,185.7

81

35,209.13

34,533.34

35,290.13

Scale adjusted latent class logits

 1 Scale and 2 taste classes

 − 17,359.2

66

35,400.94

34,850.3

35,466.94

 1 Scale and 3 taste classes

 − 17,068.9

103

35,203.06

34,343.72

35,306.06

 2 Scale and 2 taste classes

 − 17,208.5

87

35,316.91

34,591.06

35,403.91

 2 Scale and 3 taste classes

 − 16,914.7

124

35,112.00

34,077.46

35,236

  1. Models with more classes did not converge