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

Table 3

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

	Predictor 1	Predictor 2	Predictor 3	Predictor 4	Predictor 5	Predictor 6
Group 1	−0.0341	—	0.1369	0.0047	−0.0050	0.0921
	0.6026	—	0.1388	0.9593	0.9473	0.1262
Group 2	−0.1708	−0.1368	—	−0.1313	−0.1500	−0.0448
	0.0117	0.1388	—	0.0861	0.0686	0.4267
Group 3	−0.0404	−0.0064	0.1305	—	−0.0076	0.0857
	0.49404	0.9439	0.0880	—	0.7957	0.0956
Group 4	−0.0448	−0.0112	0.1253	−0.0046	—	0.0809
	0.4992	0.9017	0.1923	0.9515	—	0.2157
Group 5	−0.1260	−0.0921	0.0446	−0.0863	−0.1023	—
	0.0044	0.1261	0.4286	0.0931	0.0284	—
Group 0	—	0.0341	0.1708	0.0397	0.0145	0.1261
	—	0.6025	0.0117	0.5010	0.6334	0.0044
Intercept	−0.1209	−0.1210	−0.1214	−0.1178	−0.1088	−0.1210
	0.5175	0.5173	0.5157	0.5285	0.5659	0.5173
	2.9797	2.9795	2.9796	2.9789	2.9807	2.9795
	AIC	3481.07	3481.07	3481.07	3481.07	3480.86	3481.07