BMC Bioinformatics

Table 1 Scenario I simulation results of binary group variable in the multivariable robust regression model (continuous age and binary group) using pseudo-value approach with 1000 replicates

From: A pseudo-value regression approach for differential network analysis of co-expression data

p	n	Effect size
		5\(\%\)			10\(\%\)			20\(\%\)
		Precision	Recall	F1	Precision	Recall	F1	Precision	Recall	F1
20	40	0.76	0.81	0.77	0.90	0.79	0.83	0.98	0.79	0.87
	100	0.75	0.91	0.82	0.90	0.91	0.90	0.98	0.91	0.94
	200	0.74	0.94	0.82	0.89	0.94	0.91	0.97	0.94	0.96
	500	0.73	0.97	0.83	0.88	0.97	0.92	0.97	0.97	0.97
	1000	0.73	0.98	0.83	0.88	0.98	0.92	0.97	0.98	0.97
50	40	0.95	0.65	0.77	0.98	0.65	0.78	1.00	0.64	0.77
	100	0.95	0.77	0.85	0.98	0.77	0.86	1.00	0.77	0.86
	200	0.96	0.85	0.90	0.99	0.85	0.91	1.00	0.85	0.91
	500	0.95	0.93	0.94	0.99	0.92	0.95	1.00	0.92	0.96
	1000	0.95	0.96	0.95	0.98	0.96	0.97	1.00	0.96	0.98
100	40	0.96	0.57	0.71	0.98	0.57	0.72	1.00	0.57	0.72
	100	0.96	0.67	0.79	0.99	0.68	0.80	1.00	0.67	0.80
	200	0.96	0.74	0.83	0.99	0.74	0.84	1.00	0.74	0.85
	500	0.97	0.82	0.89	0.99	0.81	0.89	1.00	0.81	0.89
	1000	0.97	0.90	0.93	0.99	0.89	0.94	1.00	0.89	0.94

Random network is generated at each simulation replicate

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ISSN: 1471-2105

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