similar to: Survival Curves

Hi all, I have a dataset consisting of 5 columns and over 5000 rows. Each row gives information about an individual animal, including longevity, i.e. at what age an animal died. For the model I use I need to create n rows for each animal, n being its longevity, and a new column 'survival' with a binary 0/1 outcome. When an animal died e.g. at age 5, there have to be 5 rows of identical

Can survreg() handle interval-censored data like the documentation says? I ask because the command: survreg(Surv(start, stop, event) ~ 1, data = heart) fails with the error message Invalid survival type yet the documentation for Surv() states: "Presently, the only methods allowing interval censored data are the parametric models computed by 'survreg'"

Hello, I now receive an error message when obtaining a survival plot, which was not previously received with the same code. I recently updated all my packages. It does not seem to be a peculiarity of my data as I receive the error using data available in R. A plot is produced but I am uncertain regarding the error message. > library(surv2sample) > data(gastric) > fit <-

Hello, I'm using plot.survfit to plot cumulative incidence of an event. Essentially, my code boils down to: cox <-coxph(Surv(EVINF,STATUS) ~ strata(TREAT) + covariates, data=dat) surv <- survfit(cox) plot(surv,mark.time=F,fun="event") Follow-up time extends to 54 weeks, but the last event occurs at week 30, and no more people are censored in between. Is there a

Dear useRs, What is the syntax to obtain survival curves for single strata on many subjects? I have a model based on Surv(time,response) object, so there is a single row per subject and no start,stop and no switching of strata. The newdata has many subjects and each subject has a strata and the survival based on the subject risk and the subject strata is needed. If I do newpred <-

I need a low monthly rate DID in Panama. Maybe 2-3 inbound calls a day max. 1-2 outbound calls a day only. Will be rarely used but needs to be very good quality and needs longevity of business (eg this number is going into print so company needs to be around for a while). Please email with rates and details. Cheers, Dean -------------- next part -------------- An HTML

Does BTRFS perform any journal and/or filesystem structure alignment (for benefit to SSD longevity and SSD, RAID array and large-sector device performance) at present? ext4''s Ted Tso will deliver 128KB alignment with the next release of e2fsprogs (ie 1.41.4) [1], so perhaps it''s a good idea for btrfsprogs also, if not already available? Daniel --- [1]

i'm sure there's a simple answer to this -- i already understand that newer kernels than the ones shipped with the official release aren't officially supported but there is the elrepo kernel repository here: http://elrepo.org/linux/kernel/el7/x86_64/RPMS/ with a mixture of long-term (lt) and mainline (ml) kernels. i assume that the mainline kernels pretty closely track the latest

Hi, Gentle reminder ! Please let me know if there are any pointers for this Thanks Santhosh On Tue, May 14, 2019 at 7:26 PM santhosh kumar <santhosh.santuu at gmail.com> wrote: > Hi, > > We migrated from redhat 5.3 to centos 7.5 and facing crashes in longevity > tests > > All of them point to below reason, > > list_del corruption. next->prev should be

Dear list: I am attempting to use what I thought would be a pretty straightforward practical application of Cox regression. I figure users of the survival package must have come across this problem before, so I would like to ask you how you dealt with it. I have set up an illustrative example and included it at the end of this post. I took a sample of 100 data points from each of two populations

The combination of survfit, coxph, and factors is getting confused. It is not smart enough to match a new data frame that contains a numeric for sitenew to a fit that contained that variable as a factor. (Perhaps it should be smart enough to at least die gracefully -- but it's not). The simple solution is to not use factors. site1 <- 1*(coxsnps$sitenew==1) site2 <-

Hi, I am attempting to plot survival curves estimated by cox proportional hazards regression model. The formula for the model is this: F.cox.weight <- coxph(Surv(Lifespan, Status) ~ MS + Weight + Laid + MS:Laid + Weight:Laid, data = LongF) MS = Mating status (mated/virgin) Weight = adult female weight, continuous covariate Laid = number of eggs laid by each female, continuous covariate I

Hello Producers "Longevity of Support" is an attractive drawcard for CentOS if it means the exact opposite of Fedora's "short support cycle" that does not provide updating of infrastructural libraries for very long, libraries which newer versions of applications (like Firefox, Thunderbird, Opera etc) depend on and which wont install unless the libraries are also newer

I was wondering what you guys do about UPS shutdown on Windows systems? Apcupsd has the same issue, so I'm assuming it is the same with NUT. Windows just makes it hard/impossible to do. Do you find draining the batteries down so much cause issues for longevity? Regarding my Eaton 5110, I found that automatic driver setup works just fine on Windows XP but not at all on Windows 7 x64 (I

For adjusted survival curves I took the sample code from here: https://rpubs.com/daspringate/survival and adapted for my date, but got error. I would like to understand what is my mistake. Thanks! #ADAPTATION FOR MY DATA library(survival) library(survminer) df<-read.csv("F:/R/data/base.csv", header = TRUE, sep = ";") head(df) ID start stop censor sex age stage treatment 1

Hi, I need to create a data frame containing the results of a number of ANOVA's but I'm having some trouble setting it up (some being enough for me to spend 3 days trying with no progress and be left staring in to the abyss which some people call a weekend, and what I will call 2 quiet days in the office...) The response variable is *V*. I need to do an ANOVA for each *G*. The fixed

For adjusted survival curves I took the sample code from here: https://rpubs.com/daspringate/survival and adapted for my date, but ... have a QUESTION. library(survival) library(survminer) df<-read.csv("base.csv", header = TRUE, sep = ";") head(df) ID start stop censor sex age stage treatment 1 1 0 66 0 2 1 3 1 2 2 0 18 0 1 2 4 2 3 3 0 43 1 2 3 3 1 4 4 0 47 1 2 3 NA 2 5 5

Hello, I'm trying to estimate a Cox proportional hazard model with time-varying covariates using coxph. The parameter estimates are fine but there is something wrong with the survival curves I get with survfit (results are not plausible). Let me explain why I think something's wrong. To make sure I'm setting up my data correctly to estimate a model with time-varying covariates, I

Dear all, Let's assume I have a clinical trial with two treatments and a time to event outcome. I am trying to fit a Cox model with a time dependent treatment effect and then plot the predicted survival curve for one treatment (or both). library(survival) test <- list(time=runif(100,0,10),event=sample(0:1,100,replace=T),trmt=sample(0:1,100,replace=T)) model1 <- coxph(Surv(time,

I am trying to plot survival curves using the following code as an example: >rs1799964.coxph<-(coxph(Surv(sassurvmonths,status)~age+stage+rs1799964_TNFA,method="efron")) >plot(rs1799964.coxph,lyt=c(1,3),xlab="Survival in Months",ylab="Proportion Surviving") I am gettingthe following error message: >Error in xy.coords(x, y, xlabel, ylabel, log) :