Table 3 Joint prevalence and prevalence difference distributions among multimorbidity networks constructed with select association measures

From: The effect of disease co-occurrence measurement on multimorbidity networks: a population-based study

Association measure	Top 200 associations^a		Top 50% of associations^b
Association measure	Joint prevalence	Prevalence difference	Joint prevalence	Prevalence difference
Lift	0.0 (0.0-0.0)	0.3 (0.1-0.8)	0.0 (0.0-0.0)	0.9 (0.4-1.9)
Relative risk	0.0 (0.0-0.1)	0.4 (0.1-1.3)	0.0 (0.0-0.0)	1.0 (0.4-2.1)
Phi	0.4 (0.2-0.9)	2.2 (0.6-6.3)	0.0 (0.0-0.1)	1.4 (0.6-3.4)
Jaccard	0.5 (0.3-1.1)	2.0 (0.5-5.0)	0.0 (0.0-0.1)	1.1 (0.4-2.4)
Cosine	0.6 (0.3-1.2)	3.2 (1.1-7.7)	0.0 (0.0-0.1)	1.5 (0.6-3.8)
Kulczynski	0.4 (0.1-0.9)	17.9 (3.6-22.0)	0.0 (0.0-0.1)	2.3 (1.1-4.7)
Joint prevalence	0.7 (0.6-1.2)	6.8 (3.4-12.9)	0.0 (0.0-0.1)	1.7 (0.7-4.1)

Data are presented as median (Q1-Q3), where Q1 = 25th percentile and Q3 = 75th percentile
Joint prevalence and prevalence difference measured between disease node pairs
^aDisease network was limited to the 200 strongest associations (i.e., largest effect size)
^bDisease network was limited to the strongest 50% (n = 3922) of all statistically significant associations

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