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Table 2 Criteria to assess model fit for latent class analysis models

From: Identifying heterogeneous health profiles of primary care utilizers and their differential healthcare utilization and mortality – a retrospective cohort study

Number of Classes (k)

Class sizes

Akaike (AIC)

Bayesian (BIC)

Sample-Size Adjusted BIC

2

Class 1 = 65,012 (64.5%)

Class 2 = 35,735 (35.5%)

672,123

672,551

672,409

3

Class 1 = 64,813 (64.3%)

Class 2 = 32,519 (32.3%)

Class 3 = 3415 (3.4%)

662,674

663,321

663,105

4

Class 1 = 64,091 (63.6%)

Class 2 = 32,389 (32.2%)

Class 3 = 3013 (3.0%)

Class 4 = 1254 (1.2%)

658,999

659,866

659,576

5

Class 1 = 61,792 (61.3%)

Class 2 = 24,225 (24.1%)

Class 3 = 2510 (2.5%)

Class 4 = 1209 (1.2%)

Class 5 = 11,011 (10.9%)

656,030

657,115

656,753

6

Class 1 = 58,213 (57.8%)

Class 2 = 26,309 (26.1%)

Class 3 = 2964 (2.9%)

Class 4 = 1104 (1.1%)

Class 5 = 11,122 (11.0%)

Class 6 = 1035 (1.0%)

653,089

654,394

653,958