Table 1

Multiple linear regression model for prediction of weekly warfarin dose

VariablePartial regression coefficientPPartial R2 statistic, %
Age, y −0.0054 1.10−1 0.3 
INR/dose (first available) −2.9909 3.10−8 4.9 
Weight, kg 0.0157 3.10−5 2.7 
Therapeutic indication   3.8 
    Heart valve prosthesis 0.5726 1.10−6  
    Thromboembolic disease 0.4333 3.10−2  
Simvastatin −0.4442 10−2 1.0 
Amiodarone −0.7748 10−9 5.9 
CYP2C9 *2/*3/*5/*11   5.7 
    One variant allele −0.5115 2.10−6  
    Two variant alleles −1.1043 10−5  
VKORC1 3673G>A   20.1 
    3673GA −0.8352 5.10−7  
    3673AA −1.6841 <10−12  
VariablePartial regression coefficientPPartial R2 statistic, %
Age, y −0.0054 1.10−1 0.3 
INR/dose (first available) −2.9909 3.10−8 4.9 
Weight, kg 0.0157 3.10−5 2.7 
Therapeutic indication   3.8 
    Heart valve prosthesis 0.5726 1.10−6  
    Thromboembolic disease 0.4333 3.10−2  
Simvastatin −0.4442 10−2 1.0 
Amiodarone −0.7748 10−9 5.9 
CYP2C9 *2/*3/*5/*11   5.7 
    One variant allele −0.5115 2.10−6  
    Two variant alleles −1.1043 10−5  
VKORC1 3673G>A   20.1 
    3673GA −0.8352 5.10−7  
    3673AA −1.6841 <10−12  

The partial R2 statistics measures the degree of association between 2 random variables, with the effect of a set of controlling random variables removed.

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