2025-01-12 04:36:52 +08:00

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R Under development (unstable) (2024-04-17 r86441) -- "Unsuffered Consequences"
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Platform: aarch64-unknown-linux-gnu
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> library(survival)
> options(na.action=na.exclude)
> options(contrasts=c('contr.treatment', 'contr.poly')) #ensure constrast type
>
> #
> # Tests from the appendix of Therneau and Grambsch
> # Data set 1 + exact method
>
> test1 <- data.frame(time= c(9, 3,1,1,6,6,8),
+ status=c(1,NA,1,0,1,1,0),
+ x= c(0, 2,1,1,1,0,0))
>
> byhand7 <- function(beta) {
+ r <- exp(beta)
+ loglik <- 2*(beta - log(3*r + 3))
+ u <- 2/(r+1)
+ imat <- 2*r/(r+1)^2
+ haz <- c(1/(3*r+3), 2/(r+3), 0, 1 )
+
+ ties <- c(1,1,2,2,3,4)
+ wt <- c(r,r,r,1,1,1)
+ mart <- c(1,0,1,1,0,1) - wt* (cumsum(haz))[ties] #martingale residual
+
+ list(loglik=loglik, u=u, imat=imat, mart=mart)
+ }
> aeq <- function(x,y) all.equal(as.vector(x), as.vector(y))
>
> fit0 <-coxph(Surv(time, status) ~x, test1, iter=0, method='exact')
> truth0 <- byhand7(0)
> aeq(truth0$loglik, fit0$loglik[1])
[1] TRUE
> aeq(1/truth0$imat, fit0$var)
[1] TRUE
> aeq(truth0$mart, fit0$residuals[c(2:6,1)])
[1] TRUE
>
> fit1 <- coxph(Surv(time, status) ~x, test1, iter=1, method='exact')
> aeq(fit1$coefficients, truth0$u*fit0$var)
[1] TRUE
> truth1 <- byhand7(fit1$coefficients)
> aeq(fit1$loglik[2], truth1$loglik)
[1] TRUE
> aeq(1/truth1$imat, fit1$var)
[1] TRUE
> aeq(truth1$mart, resid(fit1)[c(3:7,1)])
[1] TRUE
>
> # Beta is infinite for this model, so we will get a warning message
> fit2 <- coxph(Surv(time, status) ~x, test1, method='exact')
Warning message:
In coxexact.fit(X, Y, istrat, offset, init, control, weights = weights, :
Loglik converged before variable 1 ; beta may be infinite.
> aeq(resid(fit2)[-2], c(0, 2/3, -1/3, -4/3, 1, 0)) #values from the book
[1] TRUE
>
>
> #
> # Now a multivariate case: start/stop data uses a different C routine
> #
> zz <- rep(0, nrow(lung))
> fit1 <- coxph(Surv(time, status) ~ age + ph.ecog + sex, lung, method="exact")
> fit2 <- coxph(Surv(zz, time, status) ~ age + ph.ecog + sex, lung,
+ method="exact")
> aeq(fit1$loglik, fit2$loglik)
[1] TRUE
> aeq(fit1$var, fit2$var)
[1] TRUE
> aeq(fit1$score, fit2$score)
[1] TRUE
> aeq(fit1$residuals, fit2$residuals)
[1] TRUE
>
> proc.time()
user system elapsed
0.603 0.027 0.633