search for: survivor

Dear All, Are there R packages that can estimate survival model with long-term survivors? This is sometimes known as "cure" model or "split-population" model. Thanks. Shige [[alternative HTML version deleted]]

Hello, I have a survivor curve that shows account cancellations during the past 3.5 months.  Fortunately for our business, but unfortunately for my analysis, the survivor curve doesn't yet pass through 50%.  Is there a safe way to extend the survivor curve and estimate at what time we'll hit 50%? We started a ne...

Hi, I tried to do a nested Anova with the attached Data. My response variable is "survivors" and I would like to know the effect of (insect-egg clutch) "size", "position" (of clutch on twig) and "clone" (/plant genotype) on the survival of eggs (due to predation). Each plant was provided with three different sizes of clutches (45,15,5) and had pseud...

Two questions: I have a lot of data for which the last of each of the repeated individual obserations is censored. Apart from the suite in survival, which seems to be very complex to a new R user, is there any other simple function that exists in CRAN library (I have most of these but haven't found one!) that is essentially the same as lm() but with an additional censor argument (vector of

...1 -2 -3 be (2x3) matrices. -4 -5 -6 I need to combine the two matrices into a new (2x6) matrix like this: ab = ( 1 -1 2 -2 3 -3 ) 4 -4 5 -5 6 -6 How can this be done in R? ----------------------------------------------------------------- ?????? ??? - ?? ???????! www.survivor.btv.bg

...ew to R/S-Plus, I thought I may be missing something in the NLME code. NLMIXED *********** proc nlmixed data=kidney.kidney; parms delta=0.03 gamma=1.1 b1=-0.003 b2=-1.2 b3=0.09 b4=0.35 b5=-1.43 varu=0.5; eta=b1*age+b2*sex+b3*gn+b4*an+b5*pkn+u; hazard=eta+log(delta)+log(gamma)+(gamma-1)*log(rtime); survivor=(-exp(eta))*delta*(rtime**gamma); ll=(event*hazard)+survivor; model rtime ~ general(ll); random u~normal(0,varu) subject=patient out=frailty; run; NLME ******** kidney.nlme<-nlme(model=rtime~ (event* ((b1*age+b2*sex+b3*gn+b4*an+b5*pkn+u)+log(delta)+log(gamma)+(gamma-1)*lo g(rtime)) +((-exp(b1*a...

I have a question about constructing the likelihood function where there is censoring at level 1 in a two-level random effects sum. In a conventional solution, the likelihood function is constructed using the density for failures and the survivor function for (in this case, right) censored results. Within (for example) an R environment, this is easy to do and gives the same solution as survreg even if it is a little heavy. But where there is an hierarchical situation, we need to consider the contributions at level 2. y_ij=X_ij.beta...

..., nor vars:::irf output the code of the functions. Does someone know whether irf and fevd assume one standard deviation or a unit shock? How can I see the code of these functions? Regards, Martin Ivanov ----------------------------------------------------------------- ?????? ??? - ?? ???????! www.survivor.btv.bg

...rv(survdata$Time,survdata$Status)~survdata$Treatment) summary(WeiModel) n<-seq(0, 1080, 30 ) ##Compute Weibull CDF A<-pweibull(n, scale=exp(WeiModel$coef[1]), shape=1/WeiModel$scale) B<-pweibull(n, scale=exp(WeiModel$coef[1]+WeiModel$coef[2]),shape=1/WeiModel$scale) ##Transform into survivor function ACurv<-1-A BCurv<-1-B The problem is, that the Weibull curve is predicting a survival probability for treatment B of around 11% at the end of year 3 (day 1080), and past analyses have shown that this value should be somewhere in the region of ~40%. I'm finding a similar proble...

Dear R users, Please can you help me with a relatively straightforward problem that I am struggling with? I am simply trying to plot a baseline survivor and hazard function for a simple data set of lung cancer survival where `futime' is follow up time in months and status is 1=dead and 0=alive. Using the survival package: lung.wbs <- survreg( Surv(futime, status)~ 1, data=lung, dist='weibull') plot (lung.wbs) Returns the erro...

Hola, Me gustaría obtener las reglas que genero con un árbol de decicisión creado con party. Algo parecido a lo que realiza esta función con rpart http://www.togaware.com/datamining/survivor/Convert_Tree.html la idea es disponer de esas reglas en un fichero de texto. En general si alguien sabe de algún paquete que permita obtener el código que genera la puntuación, el "score" para un modelo porque me gustaría crear un puente entre R y otras herramientas. Gracias, saludos....

...argument seems to be erroneous. I already googled the problem, found many persons having the same or a similar problem, but still no solution. I want to stress that my time-dependent covariate does not depend on the failure of an individual (in this case it doesn't seem sensible to predict a survivor function for an individual). Rather one of my effects declines with time (time-dependent coefficient). For illustration, I use the example of John Fox's paper "Cox Proportional - Hazards Regression for Survival Data". http://cran.r-project.org/doc/contrib/Fox-Companion/appendix-cox...

Hi folks, Does anyone know how to install the OCI8 ruby interface on Debian64 without having to install Oracle? My understanding, from experience with Debian i386, is that you need Oracle (specifically the SQLPlus) installed to be able to compile OCI8. Since my new dev machine is AMD64 running Debian, I''m stuck. My rails applications need to connect to a remote Oracle 10g, but cannot

...and the error (shown below). How can I debug this? i.e., Is there something I can add to the example to help track down the cause of these errors? Has anyone experienced anything similar? \examples{ require(ggplot2) plot_troops <- ggplot(Minard.troops, aes(long, lat)) + geom_path(aes(size = survivors, colour = direction, group = group)) plot_both <- plot_troops + geom_text(aes(label = city), size = 4, data = Minard.cities) plot_polished <- plot_both + scale_size(to = c(1, 12), breaks = c(1, 2, 3) * 10^5, labels = comma(c(1, 2, 3) * 10^5)) + scale_colour_manual(values = c("gr...

Dear Group, I have followed the instructions from the link http://datamining.togaware.com/survivor/Installing_GTK.html However i couldn't fix the libatk01.0.0.dll application error Here, i did uninstall R-Gui-2.4.0 then did the fresh installation and still facing the same problem I am using Windows- XP *Please find the following* R version 2.4.0 (2006-10-03) Copyright (C) 2006 The R Foun...

...ased GUI for data mining (for exploring data and building descriptive and predictive models). It has undergone a lot of development over the past year. A companion book introducing data mining using Rattle is under development, with a draft available for review at: http://datamining.togaware.com/survivor/index.html. Rattle is regularly updated and intermediate releases (between the more stable CRAN releases) are always available using: install.packages("rattle", repos="http://rattle.togaware.com") Rattle builds upon many R packages. Full installation instructions are provid...

...o suppress the estimation of intercept term in reduced.form.var? Do I need to modify the code, and if I do, how? Is there a way to apply irf and dfev to objects of type systemfit? Regards, Martin Ivanov ----------------------------------------------------------------- ?????? ??? - ?? ???????! www.survivor.btv.bg

...ess 4 90.2500000 82.0000000 100.2500000 7 shannon 1 3.9139870 3.7895134 4.0081557 8 shannon 4 3.9364410 3.8454223 3.9966735 9 simpson 1 0.9676981 0.9650888 0.9699434 10 simpson 4 0.9672897 0.9637745 0.9703296 11 survivors 1 0.0000000 0.0000000 0.0000000 12 survivors 4 252.5000000 232.0000000 273.0000000 library(lattice) library(grid) library(Hmisc) xYplot( Cbind(mean, Lower, Upper) ~ date | response, groups = water, data = sum.sap, type = "l", lty = c(1, 2), col = "bl...

Dear all, What is the cumulative distribution (with parameterization) used within survreg with respect to the log-logistic distribution? That is, how are the parameters linked to the survivor function? Best regards, Mario [[alternative HTML version deleted]]

...ased GUI for data mining (for exploring data and building descriptive and predictive models). It has undergone a lot of development over the past year. A companion book introducing data mining using Rattle is under development, with a draft available for review at: http://datamining.togaware.com/survivor/index.html. Rattle is regularly updated and intermediate releases (between the more stable CRAN releases) are always available using: install.packages("rattle", repos="http://rattle.togaware.com") Rattle builds upon many R packages. Full installation instructions are provid...