Least absolute shrinkage and selection operator type methods for the identification of serum biomarkers of overweight and obesity: simulation and application

Table 7 TESAOD analysis, coefficients refer to associations of standardized biomarker values with overweight and obese combined

	Overweight and Obese
	(N = 463 normal-weight, N = 372 overweight and obese)
	Lasso	Adaptive LASSO	Elastic Net	Iterated LASSO	Bootstrap-Enhanced LASSO-75	Weighted Fusion	p^
Adiponectin	−0.2143	−0.2770	−0.2210	−0.2827	−0.2334	−0.1985	**
Apolipoprotein H	0.0759	0.1047	0.0965	0.1028	0.1201	0.0628	**
Calcitonin^a	0.0461	0.0647	0.0657	0.0782	0.1076	0.0236	*
Soluble CD14	−0.1439	−0.2052	−0.1598	−0.2411	−0.1681	−0.1143	*
Complement 3	0.1094	0.1174	0.1313	0.1307	0.1337	0.0923	**
C-Reactive Protein	0.2968	0.4064	0.3015	0.4235	0.3485	0.2630	**
Ferritin	0.1036	0.0834	0.1068	0.1397	0.0701	0.0988	**
Growth Hormone	−0.1155	−0.0898	−0.1181	−0.1430	−0.1529	−0.1158	**
Immunoglobulin M	−0.0883	−0.1068	−0.0940	−0.1568	−0.0982	−0.0715	*
Interleukin-18	0.0404	0.0379	0.0588	0.0677	0.0798	0.0223	**
Leptin	0.3312	0.4337	0.3499	0.4554	0.4052	0.2861	**
Monocyte Chemotactic Protein-1	0.0283	0.0829	0.0451	0.0572	0.0927	0.0030	*
Myoglobin	0.2267	0.3195	0.2286	0.2983	0.2587	0.2115	**
Sex Hormone Binding Globulin	−0.2827	−0.3609	−0.2739	−0.3612	−0.2703	−0.2593	**
Surfactant Protein D	−0.1612	−0.2086	−0.1794	−0.2439	−0.2401	−0.1328	**
YKL-40	0.0284	0.0278	0.0434	0.0222	0.0654	0.0152	*

^aCategorized at median ^: p-value for univariate association from binary logistic regression; *: p < 0.05; **: p < 0.01

ISSN: 1471-2288