A Copula Type-Model for Examining the Role of Microbiome as a Potential Tool in Diagnosis

Table 8

Parameter estimates (first row) and values (second row) for the regressors associated with the six predictors for individuals classified as sedentary (bivariate regression model).

		Predictor 1	Predictor 2	Predictor 3	Predictor 4	Predictor 5	Predictor 6
Age	Group 1	−0.0051	—	0.0603	−0.0000	0.0346	0.0857
		0.9316	—	0.5081	0.9997	0.6975	0.1475
	Group 2	−0.1580	−0.1524	—	−0.1233	−0.0983	−0.0437
		0.0178	0.0944	—	0.1011	0.2985	0.4303
	Group 3	−0.0462	−0.0293	0.1203	—	0.0167	0.0824
		0.4265	0.7436	0.1103	—	0.8232	0.1031
	Group 4	−0.0430	−0.0371	0.0880	−0.0065	—	0.0765
		0.5101	0.6761	0.0116	0.0745	—	0.2339
	Group 5	−0.1125	−0.1045	0.0161	−0.0825	−0.0603	—
		0.0099	0.0779	0.7711	0.1027	0.3485	—
	Group 0	—	0.0126	0.1463	0.0440	0.0645	0.1257
		—	0.8448	0.0282	0.4480	0.3238	0.0039
	Intercept	−0.2183	−0.1924	−0.0095	−0.1094	−0.1543	−0.1174
		0.2361	0.2958	0.9587	0.5517	0.4014	0.5226
		3.1241	3.1261	3.1143	3.1354	3.1258	3.1411
		BMI	Group 1	−0.3887	—	−0.4573	−0.2960	−0.1711	−0.2530
0.0292	—			0.0642	0.2154	0.4850	0.1132
Group 2	0.1077		0.4876	—	0.1827	0.3142	0.2227
	0.5429		0.0500	—	0.3680	0.2120	0.1314
Group 3	−0.0647		0.3060	−0.1777	—	0.1355	0.0421
	0.6835		0.2018	0.3813	—	0.5090	0.7622
Group 4	−0.2022		0.1727	−0.3104	−0.1363	—	−0.0920
	0.2598		0.4813	0.2169	0.5057	—	0.5961
Group 5	−0.1169		0.2616	−0.2148	−0.0417	0.0902	—
	0.3182		0.1023	0.1444	0.7640	0.6033	—
Group 0	—		0.3713	−0.1111	0.0640	0.1979	0.1079
	—		0.0362	0.5286	0.6857	0.2685	0.3546
Intercept	0.4546		0.3999	0.3452	0.3700	0.3962	0.3764
	0.3794		0.4365	0.4995	0.4692	0.4403	0.4631
	24.5370		24.5337	24.5521	24.5309	24.5345	24.5355
			31.4511	31.4477	31.4557	31.4509	31.4486	31.4552
			1.9793	1.9764	1.9786	1.9708	1.9752	1.9791
			1.5562	1.5576	1.5530	1.5526	1.5572	1.5599
			0.2554	0.2550	0.2571	0.2557	0.2558	0.2557
			17.1151	17.1042	16.9295	16.8143	17.0653	16.9971
0.0050			0.0050	0.0046	0.0043	0.0049	0.0047