R Under development (unstable) (2023-08-12 r84939 ucrt) -- "Unsuffered Consequences" Copyright (C) 2023 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > 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$mart, fit0$resid[c(2:6,1)]) [1] TRUE > > fit1 <- coxph(Surv(time, status) ~x, test1, iter=1, method='exact') > aeq(fit1$coef, truth0$u*fit0$var) [1] TRUE > truth1 <- byhand7(fit1$coef) > 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$score) [1] TRUE > aeq(fit1$resid, fit2$resid) [1] TRUE > > proc.time() user system elapsed 1.39 0.14 1.53