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Table 2 LCA model fit statistics

From: Identifying patterns of clinical conditions among high-cost older adult health care users using claims data: a latent class approach

Classes

AIC

BIC

aBIC

Entropy

LMR

BLRT

2

43,913.071

44,197.974

44,067.684

1

 < 0.0001

 < 0.0001

3

43,079.382

43,510.210

43,313.187

1

 < 0.0001

 < 0.0001

4

42,231.971

42,808.725

42,544.968

1

 < 0.0001

 < 0.0001

5

41,535.833

42,258.512

41,928.022

1

 < 0.0001

 < 0.0001

6

41,346.203

42,214.808

41,817.584

0.918

 < 0.0001

 < 0.0001

  1. AIC Akaike information criterion, BIC Bayesian information criterion, aBIC sample-size-adjusted BIC, LMR p-value for the Lo–Mendell–Rubin likelihood ratio test, BLRT p-value for the bootstrap likelihood ratio test, LCA latent class analysis