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2006 Sep 19
0
How to interpret these results from a simple gamma-frailty model
...;- exp(-10*lambda)^(exp(rs)) # Original 10-year risk rsM1<- (cf[i,1,1]*age+cf[i,1,2]*tc+cf[i,1,3]*hdlc+cf[i,1,4]*sbp+cf[i,1,5]*diab+cf[i,1,6]*smok) peventM1 <- exp(-10*lambda)^(exp(rsM1)) rsM2<- (cf[i,1,1]*age+cf[i,1,2]*tc+cf[i,1,3]*hdlc+cf[i,1,4]*sbp+cf[i,1,5]*diab+cf[i,1,6]*smok) peventM2 <- exp(-10*lambda)^(estv*exp(rsM1)) # Proportion of more accurate predictions pred <- sum(abs(pevent-peventM2) < abs(pevent-peventM1))/n print(paste("Theta = ",l," proportion pred. M2 more accurate than M1 = ",pred)); } corresponding output: [1] "Theta = 1...