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. Author manuscript; available in PMC: 2021 Aug 16.
Published in final edited form as: J Neurosci Methods. 2020 May 16;341:108753. doi: 10.1016/j.jneumeth.2020.108753

Table 4.

Bayesian logistic regressions on cluster membership on abstinence by clustering algorithm. The Bayes facor of 5.88 indicates moderate evidence favoring the superiority of the 2-cluster solution over the 3-cluster solution.

k-means Clustering BNP+
OR* HPD# Posterior probability < 0 OR HPD Posterior probability < 0
C>P & vs. P>C ^ 0.58 0.28 – 0.91 .983 0.62 0.28 – 0.98 0.961
C>P vs. New Cluster 0.61 0.24 – 1.08 0.069
P>C vs. New Cluster 1.02 0.47 – 1.74 0.442
DIC @ 369.37 371.89
Bayes Factor (k-means vs. BNP models) 5.88
+

Bayesian Non-Parametric;

*

Odds Ratio;

#

Highest Posterior Density;

&

larger brain responses to cigarette-related cues than non-nicotine-related pleasant stimuli;

^

larger brain responses to non-nicotine-related pleasant stimuli than cigarette-related cues;

@

Deviance Information Criterion