Gaussian Copula Regression Modeling for Marker Classification Metrics with Competing Risk Outcomes

Table 4

BICs obtained for the various models in each component of the joint model when using the backward elimination process.

#Model	Variable M	Variable T	Variable D	BIC
1	RX + AGE + WT + HX	RX + AGE + WT + HX	RX + AGE + WT + HX	4,374.37
2	RX + WT + HX	RX + AGE + WT + HX	RX + AGE + WT + HX	4,364.91
3	RX + WT + HX	RX + AGE + WT + HX	RX + AGE + HX	4,355.39
4	RX + WT + HX	AGE + WT + HX	RX + AGE + HX	4,349.31
5	RX + WT + HX	AGE + WT	RX + AGE + HX	4,343.30
6	WT + HX	AGE + WT	RX + AGE + HX	4,338.88
7	WT + HX	AGE + WT	AGE + HX	4,334.68
8	WT + HX	AGE	AGE + HX	4,331.25
9	HX	AGE	AGE + HX	4,330.98
10	HX	AGE	AGE	4,338.33