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Table 1 Fit statistics for latent profile analysis from one to six classes

From: Symptom and functional networks of patients with cancer in different latent risk subgroups based on patient-reported outcomes

Model

AIC

BIC

Entropy

BLRT(p)

Number of each subgroup

The percentage of each subgroup

1

99929.06

100013.02

1.00

-

1404

1.00

2

97916.40

98047.58

0.82

0.01

1058/346

0.75/0.25

3

97349.06

97527.46

0.86

0.01

716/492/196

0.51/0.35/0.14

4

97143.86

97369.49

0.80

0.01

693/419/160/132

0.49/0.30/0.12/0.09

5

97035.47

97308.32

0.79

0.01

587/424/163/135/95

0.42/0.30/0.11/0.10/0.07

6

96606.04

96926.11

0.83

0.01

554/431/112/109/89/89

0.41/0.32/0.08/0.07/0.06/0.06

  1. Note: AIC, akaike information criterion; BIC, bayesian information criterion; BLRT(p), p value of bootstrapped likelihood ratio test