search for: kmsurv

...minor 6.0 year 2002 month 10 day 01 language R -----Original Message----- From: Jun Yan [mailto:jyan at stat.wisc.edu] Sent: 07 October 2002 04:59 To: r-announce at r-project.org Subject: new packages: geepack and KMsurv I uploaded two packages to cran two weeks ago, and have just compiled them for windows using the cross-building tools on linux. Now I would like to anounce their existence. The first package, geepack, is generalized estimating equations modeling for both mean and association structure for multi...

Has anybody written an actuarial (life) survival procedure, this does not appear to be an option in the survival package? This approach is common in orthopaedic surgery to demonstrate the survival of prostheses. I need to apply the "modified" lower conf.int because of the censoring over time. I want a life table which I can then easily plot. Many thanks

Hello, I have a question about the function lifetab in package KMsurv. The description of the output value surv says "the estimated survival function at the start of the intervals". Are these estimates the ones calculated via Kaplan-Meier probability of survival ? Thanks in advance! -- View this message in context: http://r.789695.n4.nabble.com/life-ta...

.... Thanks, Mike Babyak Department of Psychiatry and Behavioral Science Duke University Medical Center ************************** Here's the code: library(Hmisc) library(survival) getHdata(pbc) pbc<-upData(pbc, moveUnits=TRUE, labels=c(stage='Histologic Stage\nLudwig Criteria')) kmsurv <- function(S, times) { f <- survfit.km(factor(rep(1,nrow(S))), S) tt <- c(0, f$time) ss <- c(1, f$surv) # add first point to survival curve approx(tt, ss, xout=times, method='constant', f=0)$y } describe.survival <- function(y) { km <- kmsurv(y, c(2,5)) c('2 Year...

Hi everyone, I am not new to R, but new to running survival models in R. I am trying to create some basic KM curves, using the following code: library(survival) library(KMsurv) (import data etc - basic right censored, with continuously observed time of death) sleepfit <- survfit(Surv(timeb, death), data = sleep) Here timeb is measured is survival in years, death is a 1/0 indicator (1 = event = death), and the dataset is called sleep. But I get the following error...

...t;,"its","iWidgets","JavaGD","JGR","JLLprod","JointGL M","kappalab","Kendall","kernlab") TEMP <- c(TEMP,"KernSmooth","kinship","kknn","klaR","km.ci","KMsurv","knncat","knnFinder","knnTree","kohonen","ks","kza","kzft","labdsv","labstatR","lars","lasso2","latentnet","lattice","latticeExtra","lazy",&quo...