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Table 2 Information criteria for models of k classes and Lo-Mendell-Rubin test for improvement between models with k and k-1 classes

From: Uncovering steroidopathy in women with autism: a latent class analysis

k classes

df

-log likelihood

AIC

BIC

LMR test

P value

1

8

-6,424.359

12,878.718

12,949.54

 

2

21

-2,906.206

5,862.413

5,977.781

0.0000

3

30

-2,869.814

5,817.628

5,997.602

0.6174

  1. The lowest values on the information criteria indicate the best model (shown in bold), weighing absolute model fit and number of estimated parameters. A description of the two and three class models can be found in Additional file1: Table S1. AIC, Akaike Information Criterion; BIC, Bayesian Information Criterion; df, degrees of freedom; LMR, Lo-Mendell-Rubin. P value in bold indicates significance P < 0.05).
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Molecular Autism

ISSN: 2040-2392