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. Author manuscript; available in PMC: 2022 Jul 1.
Published in final edited form as: Prev Med. 2021 Apr 1;148:106545. doi: 10.1016/j.ypmed.2021.106545

Table 2.

Model fit indices for tobacco and cannabis use and poly-use trajectories.

Trajectory# AICa BICb Adjusted BICc LMR LRT p-value for k-1d Entropy
1 67,464.59 67,611.20 67,534.94 N/A N/A
2 50,078.71 50,378.02 50,222.32 < 0.0001 0.95
3 46,133.33 46,595.34 46,360.21 < 0.0001 0.91
4 44,966.07 45,570.80 45,256.23 < 0.0001 0.90
5 43,972.26 44,729.70 44,335.69 < 0.0001 0.89
6 43,468.93 44,379.07 43,905.63 0.7621 0.89
7 43,137.80 44,200.65 43,647.78 0.7544 0.89
a

AIC = Akaike information criterion.

b

BIC = Bayesian information criterion.

c

Sample-size adjusted Bayesian information criterion.

d

LMR LRT = Lo-Mendell-Rubin likelihood ratio test, p-value for k-1 refers to significant improvement in model fit between the class (k) and the class preceding it (k-1).