similar to: left truncated data survival analysis package

Hi, this is both a statistical and a R question... what would the best way / test to detect an outlier value among a series of 10 to 30 values ? for instance if we have the following dataset: 10,11,12,15,20,22,25,30,500 I d like to have a way to identify the last data as an outlier (only one direction). One way would be to calculate abs(mean - median) and if elevated (to what extent ?) delete the

Dear R users I m planning to move to Linux to use R (currently under Win XPPro on a 32bit PC with 4 Go RAM), I have 2 questions: - is there a recommended "version/distribution" of Linux to run?R and Bioconductor packages: Fedora ? Ubuntu ? Suse ? Debian ? - Regarding Fedora, I see that now it is version 8 available on the web, but on R website I can only see R Fedora 7 version (no F8);

Dear All, I would like to fit some parametric survival models using left truncated, right censored data in R. However I am having problems finding a function to fit parametric survival models which can handle left truncated data. I have tested both the survreg function in package survival: fit1 <- survreg(Surv(start, stop, status) ~ X + Y + Z, data=data1) and the psm function in package

Dear all, I have data from 1970 to 1990 for people above age 50. Now I want to calculate survival curves by age starting at age 50 using the Kaplan Meier Estimator. The problem I have is that there are already people in 1970 who are older than 50 years. I guess this is called delayed entry or left truncation (?). I thought the code would be: roland <- survfit(Surv(time=age.enter,

Hello again, I m trying to use timereg package as you suggested (R2.7.1 on XP Pro). here is my script based on the example from timereg for a fine & gray model in which relt = time to event, rels = status 0/1/2 2=competing, 1=event of interest, 0=censored random = covariate I want to test library(timereg) rel<-read.csv("relapse2.csv", header = TRUE, sep = ",",

Dear R users, I d like to assess the effect of "treatment" covariate on a disease relapse risk with the package cmprsk. However, the effect of this covariate on survival is time-dependent (assessed with cox.zph): no significant effect during the first year of follow-up, then after 1 year a favorable effect is observed on survival (step function might be the correct way to say that ?).

Hi I d like to compile the source code from last Affy package for WinXPpro under R18beta however the doc is pretty poor regarding this process... I went to FAQ R Win then to http://www.stats.ox.ac.uk/pub/Rtools/ and downloaded in The essentials, tools and Perl 5.8.0, then MingW from www.mingw.org and I wonder if I need any other stuff from this page ? I m not sure but I dont think I need the

Dear list, I want o fit a shared gamma frailty model with the frailty specification in the survival package. I have partly left-truncated data and time-dependent covariates. Is it possible to combine these two things in the frailty function. Or are the results wrong if I use data in the start-stop-formulation which account for delayed entry? Is the frailty distribution updated in the

Dear R users, I have just moved to R2.6.1 under Opensuse linux 10.3. I used to work with R under XPpro. Is it "normal" to have a visual aspect of R under linux different ? I mean without a window with menus etc... What I do is just open a console window and type R then I just obtain a:?? >?? waiting for my input. No menu I can click to open for instance to go to the different

Hi, I m trying to down load the binary for Win of R1.7 (called R 0.8... ?) from few mirrors but all are down... Is it normal ? Regards Philippe [[alternate HTML version deleted]]

this problem also occurred later in the installation process: C:\Program Files\R\rw1080beta\doc\manual\refman.pdf C:\Program Files\R\rw1080beta\library\mva\html\loadings.html C:\Program Files\R\rw1080beta\library\ctest\html\fisher.test.html C:\Program Files\R\rw1080beta\library\base\chtml\base.chm C:\Program Files\R\rw1080beta\afm\hvo____.afm An error occured while trying to copy a file: The

Hi, I would like to fit parametric survival models to time-to-event data that are left truncated. I have checked the help page for survreg and looked in the R-help archive, and it appears that the R function survreg from the survival library (version 2.16) should allow me to take account of left truncation. However, when I try the command

Hi everyone, I have a data frame that is quite huge (dozens of millions of lines). It looks like this : Name      Value Name1    156 Name2    458963 Name3    758 ... Name143 89325 Name1     4678 Name42   766 Name144 777 ... Name2     46767 ... Each name and and value has no predefined length and may be repeated any number of times. My goal is to have a list (aggregating the numbers relative

dear all, I would like to know whether survdiff and survReg function in the survival package work for left-truncated and right-censored data. If not, what other functions can i use to make comparison between two survival curves with LTRC data. thanks for any help given sing yee

Hi Does anyone know if there is a function like survdiff which can also handle left-truncated and right-censored data? When I use it on left-truncated and right-censored data I get an error message saying Right censored data only. Many thanks Rajen [[alternative HTML version deleted]]

Hi, I have a fairly simple question. I would like to use the survival package to perform an analysis on data where an event can have occurred before individuals were recruited into a study. I'm not sure how to do this using the Surv() function. I would have a date of an event and then the enrolment date would be after that. How do I put these two dates into the survival function? Thank

Author: Darren Moffat <Darren.Moffat at Sun.COM> Repository: /hg/zfs-crypto/gate Latest revision: 1e618d9450da12a8cb6d6068c3b7cd02c82d7214 Total changesets: 1 Log message: SHAMAC checksum should be truncated left most 128 bits of SHA256 Files: update: usr/src/uts/common/fs/zfs/sha256.c

Is it possible to calculate Kaplan-Meier for left-truncated, right-censored data using survival5? -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at

Hi. I am looking for a function for left-truncated data. I have one data set with 2 variables (Hours~Yrs_Ed). I already left-censored the data at 200 and left-truncated it at the same spot, so that I am able to make 2 estimations (one for censoring and one for truncation). I know how to make the linear regression for the left-censored variable (hours) and how to plot the regression line into the

On Wed, 13 Nov 2002, Jan de Leeuw wrote: > > No problemo. And, in fact, I get the same results in > the R-1.6.0 Carbon version. I don't. Could there be a G3/G4 issue? -thomas > --- Jan > > On Wednesday, November 13, 2002, at 02:05 PM, tim@timcohn.com wrote: > > > Full_Name: Tim Cohn > > Version: 1.6.1 > > OS: Macintosh OS X > > Submission