Sequence Variants of Peroxisome Proliferator-Activated Receptor-Gamma Gene and the Clinical Courses of Patients with End-Stage Renal Disease

Table 6

The predictors of time to death in dialysis cases by fitting multiple Cox’s proportional hazards model weighted by the inverse of survival probability using the stepwise variable selection method.

Covariate^*	Regression coefficient	Standard error		P value	Hazard ratio	Lower; 95% limit	Upper; 95% limit
Age (years)	0.065	0.006	10.707	<0.001	1.068	1.055	1.080
PPAR-γ Pro12Ala-GG	−14.61	0.695	−21.021	<0.001	<0.01	<0.01	<0.01
DM × PPAR-γ C161T-CC	1.050	0.156	6.728	<0.001	2.858	2.105	3.858
DM × PPAR-γ C161T-CT	0.655	0.178	3.675	<0.001	1.926	1.358	2.731

 ^*The symbol “×” indicates the interaction between two covariates and it can be literally interpreted as “and” in this case.
^**Weighted Cox’s proportional hazards model: , number of events = 217, and concordance = 0.756 (se = 0.021).