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Table 1 Goodness of fit statistics for cluster models

From: Clustering of asthma and related comorbidities and their association with maternal health during pregnancy: evidence from an Australian birth cohort

Model

LL

BIC

AIC

Npar

L2

% reduction in L2

residual df

p-value

One class (H0)

− 4698.805

9464.953

9415.609

9

1330.987

 

502

0.000

Two class

− 4175.756

8493.682

8389.511

19

284.889

78.6

492

1.000

Three class

− 4154.712

8511.456

8363.423

27

242.802

81.8

484

1.000

Four class

− 4140.697

8550.771

8353.394

36

214.772

83.9

475

1.000

Five class

−4140.679

8625.561

8373.358

46

214.736

83.9

465

1.000

Six class

− 4131.795

8637.725

8363.591

50

196.969

85.2

461

1.000

Seven class

− 4135.595

8660.289

8375.189

52

204.568

84.6

459

1.000

  1. Abbreviations: AIC Akaike’s Information Criterion, BIC Bayesian Information Criterion, df degrees of freedom, Npar Number of parameters, LL log-likelihood, L2 likelihood-ratio