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

Table 4

Parameter estimates (first row) and values (second row) for the regressors associated with the six predictors for individuals classified as nonsedentary. The response variable is age.

	Predictor 1	Predictor 2	Predictor 3	Predictor 4	Predictor 5	Predictor 6
Group 1	−0.0465	—	0.1209	−0.0105	−0.0745	0.0159
	0.4022	—	0.0283	0.8851	0.3583	0.7459
Group 2	−0.1673	−0.1209	—	−0.1328	−0.1954	−0.1052
	0.0063	0.1151	—	0.0461	0.0344	0.0459
Group 3	−0.0358	0.0108	0.1318	—	−0.0637	0.0265
	0.4957	0.8814	0.0477	—	0.4014	0.5497
Group 4	0.0277	0.0745	0.1954	0.0641	—	0.0899
	0.6623	0.3583	0.0344	0.3983	—	0.1771
Group 5	−0.0623	−0.0157	0.1052	−0.0263	−0.0902	—
	0.1196	0.7484	0.0458	0.5522	0.1753	—
Group 0	—	0.0465	0.1674	0.0349	−0.0280	0.0622
	—	0.4021	0.0063	0.5069	0.6589	0.1206
Intercept	−0.1641	−0.1642	−0.1641	−0.1667	−0.1643	−0.1649
	0.2890	0.2888	0.2892	0.2820	0.2887	0.2869
	2.9002	2.8999	2.9000	2.8981	2.8999	2.8999
	AIC	4155.08	4155.08	4155.08	4155.08	4155.08	4155.08