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Table 2 Information criteria for seven class solutions from latent class analyses in the CONCARDPCI study

From: Perfect health not so perfect after all – a methodological study on patient-reported outcome measures in 2574 patients following percutaneous coronary intervention

 

Log-likelihood

df

BIC

AIC

ABIC

CAIC

Entropy

Model 1

-20179.91

690

40824.14

40499.81

40601.86

40894.14

NaN

Model 2

-18018.97

619

36973.25

36319.95

36525.51

37114.25

0.921

Model 3

-17459.04

548

36324.34

35342.07

35651.15

36536.34

0.898

Model 4

-17146.26

477

36169.74

34858.52

35271.10

36452.74

0.901

Model 5

-16934.41

406

36217.01

34576.81

35092.91

36571.01

0.887

Model 6

-16764.11

335

36347.39

34378.23

34997.83

36772.39

0.802

Model 7

-16611.20

264

36512.52

34214.39

34937.51

37008.52

0.838

  1. BIC: Bayesian Information Criterion; ABIC: Adjusted BIC; AIC: Akaike Information Criterion; CAIC: Consistent AIC