similar to: Numbers at risk below cumulative incidence function plot (plot.cuminc, cmprsk-package)

Hi, To use cuminc() from cmprsk package, if a subject has 2 events (both the event of interest and the event of competing risk), should I create 2 observations for this subject in the dataset, one for each event with different fstatus (1 and 2), or just 1 observation with whatever event that happened first? My analysis objective is calculate cumulative incidence for the event of interest.

Hi, this has nothing to do with CentOS but with your router which does not support using the public IP from inside your network (which is quite common). If the port is open on your router when you access it from another public IP then all is well. Regards, Michel On Fri, 2018-09-14 at 09:43 +0200, Marcin Trendota wrote: > W dniu 13.09.2018 o 22:19, Oleg Cherkasov pisze: > > On 13.

Hi, the first thing that comes to mind, did you set ip_forward to enable in /etc/sysctl.conf ? net.ipv4.ip_forward = 1 Should explain why you IP on the bridge works but not on the vms. Regards, Michel On Wed, 2020-06-17 at 09:43 -0400, Lamar Owen wrote: > As part of my initial KVM host on C8 deployment, I decided to set up > some HA features on the new host, specifically NIC

Dear R users, For the purpose of validating a prediction model using validate() from the rms package, I am running into some trouble with using the fastbw() function breaking up natural groups of variables. Is there any way I can specify to keep certain variable together? In particular, if interactions are included I would also like to keep the main effects in the model. Another example is a

I am trying to replace values of a vector (consisting of 15 values) by a value that is related to a matching value in a dataset (consisting of 17 rows). Here's an example The vector: v <- c(f,a,e,d,m,o,e,f,i,n,e,i,b,a,o) The dataset's columns consist of the following values d[,1] <- c(a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q) d[,2] <- 1:17 So I want to end up with a vector that

Hi, We are in the process of testing a migration of our current setup which contains Samba 4 as Classic DC with LDAP backend, Isilon OneFS bulk storage serving NFS/SMB shares and Windows/Mac/Linux clients to a more modern Samba 4 AD. We need to migrate to Samba AD because of Windows 10 and macos 10.13.x (and for several other reasons). But we run into an issue with authenticating the clients

Hi list, I am probably overlooking something, but can not figure out what is going on nor can I find something through google. I just converted a Samba 4 PDC to Samba 4 AD DC (using the samba provided tools). I hooked up a Linux laptop to the network configure winbind, joined the domain and am able to login with my credentials from Samba AD. However I can not seem to get it working on the

Dear R users, Could you help my with the following problem? I want to repeat a glm analysis with 2 independent variables for all 900 variables (snps) in my data set. So, I want to check whether snp1 has a different effect on my outcome variable in patients and controls(phenotype). And repeat that for snp2 to snp900. Is there an easy way to get a summary of the data, e.g. a list of P values of all

Dear R-help list members, I am trying to create my own axes when plotting a cumulative incidence curve using the plot.cuminc function in the CMPRSK library. The default x-axis places tick marks and labels at 0, 20, 40, 60, and 80 (my data has an upper limit of 96), whereas I want them at my own specified locations. Here is my example code: library(cmprsk) attach(MYDATA) MYCUMINC <-

Hi, we now have an old Windows NT4.0 domain served by Samba 4.2.x (using Samba and LDAP) and want to move to Windows AD. The reason we need to do that is because of the clients (Windows 10 and MacOS) and because of a third party device which does not want to talk to Samba AD (Isilon OneFS). I did a 'classicupgrade' to Samba AD from our Samba/LDAP config and then I use this guide :

Hi, On Mon, 2019-03-25 at 12:28 +0000, Rowland Penny via samba wrote: > On Mon, 25 Mar 2019 11:24:03 +0000 > "Deventer-2, M.S.J. van via samba" <samba at lists.samba.org> wrote: > > > Hi, > > > > we now have an old Windows NT4.0 domain served by Samba 4.2.x > > (using > > Samba and LDAP) and want to move to Windows AD. > > The reason

Hello, I am performing a meta-analysis using the metafor package. My data are proportions and I used the Freeman Tukey double arcine (FT) transformation to fit the random effects model. Now I want to create a forest plot with my estimates backtransformed to the original scale of proportions. Can this be done? Regards, Patricia

Hi, I am wondering if anyone can explain to me if cumulative incidence (CI) is just "1 minus kaplan-Meier survival"? Under what circumstance, you should use cumulative incidence vs KM survival? If the relationship is just CI = 1-survival, then what difference it makes to use one vs. the other? And in R how I can draw a cumulative incidence plot. I know I can make a Kaplan-Meier

Hello everyone, I am a very new user of R and I have a query about the cuminc function in the package cmprsk. In particular I would like to verify that I am interpreting the output correctly when we have a stratification variable. Hypothetical example: group : fair hair, dark hair fstatus: 1=Relapse, 2=TRM, 0=censored strata: sex (M or F) Our data would be split into: Fair, male,

Dear prof. Harrell, I'm not able to use the force option with fastbw, here an example of the error I've got (dataset stagec rpart package): > fitstc <- cph(Surv(stagec$pgtime,stagec$pgstat) ~ age + eet + g2 + grade + gleason + ploidy, data=stagec) > fbwstc <- fastbw(fitstc,rule="aic",type="individual") > fbwstc Deleted Chi-Sq d.f. P Residual d.f.

Dear Prof Gray and everyone, As our package developers discussed about incompatibility between Design and survival packages, I faced another problem with cmprsk- a survival dependent packacge. The problem is exactly similar to what happened to the Design package that when I just started running cuminc function, R was suddenly closed. These incidents suggest that maybe many other survival

Hello everyone,   I am a very new user of R and I have a query about the cuminc function in the package cmprsk. In particular I would like to verify that I am interpreting the output correctly when we have a stratification variable.   Hypothetical example:   group : fair hair, dark hair fstatus: 1=Relapse, 2=TRM, 0=censored strata: sex (M or F)   Our data would be split into:   Fair, male,

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 All, I'm trying to figure out the cumulative incidence curve in R in some limited time. I found in package "cmprsk", the command "plot.cuminc" can get this curve. But I noticed that there is no mark for the censored time there, comparing with the KM curve by "plot.survfit". Here are my codes (attached is the data): ----------------