search for: failcode

...ng is as follows where covaea and covaeb are matrices of covarites, all coded as binary variables. In case a: > covaea <- cbind(sexa,fsha,fdra,nsigna,eega,th1a,th2a,stype1a,stype2a,stype3a,pgu1a,pgu2a,log(agea),firstinta/1000,totsezbasea) > fita <- crr(snearma$with.Withtime,csaea,covaea,failcode=2,cencode=0) and in case b: > covaeb <- cbind(sexb,fshb,fdrb,nsignb,eegb,th1b,th2b,stype1b,stype2b,stype3b,stype4b,stype5b,pgu1b,pgu2b,(ageb/10)^(-1),firstintb,log(totsezbaseb)) > fitb <- crr(snearmb$with.Withtime,csaeb,covaeb,failcode=2,cencode=0) csaea and csaeb are the censoring in...

...ter 1 year. Correct me if I m wrong in trying to do so. First, I have run the following script (R2.7.1 under XPpro) according to previous advices: library(cmprsk) attach(LAMrelapse) fit1<- crr(rel.t, rel.s, treatment, treatment, function(uft) cbind(ifelse(uft<=1,1,0),ifelse(uft>1,1,0)), failcode=1, cencode=0, na.action=na.omit, gtol-06, maxiter) fit1 where: rel.t = time to event (in years) rel.s = status , =1 if disease relapse, =2 if death from non disease related cause (toxicity of previous chemotherapy), =0 if alive & not in relapse treatment = binary covariate (value: 0 or 1) repr...

Hi all I do not understand why I am getting the following error message. Can anybody help me with this? Thanks in advance. install.packages("cmprsk") library(cmprsk) result1 <-crr(ftime, fstatus, cov1, failcode=1, cencode=0 ) one.pout1 = predict(result1,cov1,X=cbind(1,one.z1,one.z2)) predict.crr(result1,cov1,X=cbind(1,one.z1,one.z2)) Error: could not find function "predict.crr" [[alternative HTML version deleted]]

...year. Correct me if I m wrong in trying to do so. First, I have run the following script (R2.7.1 under XPpro) according to previous advices: library(cmprsk) attach(LAMrelapse) fit1<- crr(rel.t, rel.s, treatment, treatment, function(uft) cbind(ifelse(uft<=1,1,0),ifelse(uft>1,1,0)), failcode=1, cencode=0, na.action=na.omit, gtol-06, maxiter) fit1 where: rel.t = time to event (in years) rel.s = status , =1 if disease relapse, =2 if death from non disease related cause (toxicity of previous chemotherapy), =0 if alive & not in relapse treatment = binary covariate (value: 0 or 1...

...ot;,0,1), c("bern",0.564)), nsit=2) table(status) table(cause) df$cause<-ifelse(is.na(df$cause),0,df$cause) table(df$cause) df.w<-crprep("time","cause", data=df, trans=c(1,2), cens=0, id="nid", keep=c("x", "x.1")) with(df.w,table(failcode,status)) ddist<-datadist(df.w) options(datadist='ddist') mod<-cph(Surv(Tstart,Tstop,status==1)~rcs(x,3)+x.1,data=df.w, weight=weight.cens, subset=failcode==1, x=T, y=T, surv=T, time.inc = 2.5) mod2<-cph(Surv(Tstart,Tstop,status==1)~(x.1+rcs(x,3))^2,data=df.w, weight=weight.cens, su...

...time to treatment withdrawal, with.Wcens is the censoring indictor for the event and all.firstint is the age at baseline. To look at the competing risks regression modelling when age in untransformed, I can use the following code: fitn<-crr(nearma$with.Withtime,censaeb,as.matrix(nearma$all.age),failcode=2,cencode=0) where censaeb is the censoring indicator which is coded 1 for the event of interest (time to treatment failure), 2 for the competing risk and 0 for the censored value. Can anyone suggest how I can effectively combine these situations i.e. is there a way to apply the fractional polynom...

...ate of interest) I want to investigate if pre has a significant impact on time to event for patients who died and for those who suffered disease progression (as well as it's impact on the overall time to event). The code I have used is as follows: fitd <- crr(dat1$ccr,dat1$Crcens,dat1$pre,failcode=1,cencode=0) fitp <- crr(dat1$ccr,dat1$Crcens,dat1$pre,failcode=2,cencode=0) In these cases I get p-values of 0 and 0.66 respectively. What I would now like to do, is to plot two cumulative incidence curves - one for the 'pre' variable status for patients who didn't acheive the eve...

...rying to do so. > > > First, I have run the following script (R2.7.1 under XPpro) according to previous advices: > > library(cmprsk) > attach(LAMrelapse) > fit1<- crr(rel.t, rel.s, treatment, treatment, function(uft) > cbind(ifelse(uft<=1,1,0),ifelse(uft>1,1,0)), failcode=1, > cencode=0, na.action=na.omit, gtol-06, maxiter) > fit1 > > where: > rel.t = time to event (in years) > rel.s = status , =1 if disease relapse, =2 if death from non disease > related cause (toxicity of previous chemotherapy), =0 if alive & > not in relapse > trea...

...------------------------- ERROR Errors in running code in vignettes: when running code in ?compete.Rnw? ... > temp$fstat <- as.numeric(event) > temp$msex <- with(temp, 1 * (sex == "M")) > fgfit1 <- with(temp, crr(etime, fstat, cov1 = cbind(age, + msex, mspike), failcode = 2, cencode = 1, variance = TRUE)) When sourcing ?compete.R?: Error: could not find function "crr" Execution halted * checking re-building of vignette outputs ... NOTE Error in re-building vignettes: ... Warning in coxph(Surv(futime, death) ~ group:age2 + sex + strata(group), :...

...in vignettes: >> when running code in ?compete.Rnw? >> ... >> temp$fstat <- as.numeric(event) >> >> temp$msex <- with(temp, 1 * (sex == "M")) >> >> fgfit1 <- with(temp, crr(etime, fstat, cov1 = cbind(age, >> + msex, mspike), failcode = 2, cencode = 1, variance = TRUE)) >> >> When sourcing ?compete.R?: >> Error: could not find function "crr" >> Execution halted >> >> * checking re-building of vignette outputs ... NOTE >> Error in re-building vignettes: >> ... >&g...

Hi, I need to fit model using crr, however my covariate is categorical with 3 levels. I use crr(time,status,agesplit,failcode=1,cencode=0) where agesplit is defined as <20,21-29,>30 years, so it takes 0, 1 or 2 for each patient. I hoped to get estimated coefficients for the levels 1 and 2 w.r.t level 0 as in coxph. But, I didn't. Could someone please help me to use crr in this situation? Thanks a lot. Ruwanthi

...running code in ?compete.Rnw? >>>???... >>> temp$fstat <- as.numeric(event) >>> >>> temp$msex <- with(temp, 1 * (sex == "M")) >>> >>> fgfit1 <- with(temp, crr(etime, fstat, cov1 = cbind(age, >>> +? ???msex, mspike), failcode = 2, cencode = 1, variance = TRUE)) >>> >>>???When sourcing ?compete.R?: >>> Error: could not find function "crr" >>> Execution halted >>> >>> * checking re-building of vignette outputs ... NOTE >>> Error in re-building vign...