search for: bladder

...with recurrent events: My objective is to get estimates of survival (obtained through a Cox model) by rank of recurrence and by treatment group. With the following code (corresponding to a model with a global effect of the treatment=rx), I get no error and manage to obtain what I want : data<-(bladder) model1<-coxph(Surv(stop,event)~rx+strata(enum)+cluster(id),data=bladder) data1<-data.frame(rx=1) survfit(model1,newdata=data1) But with the model with strata by treatment interaction (corresponding to a model with an effect of the treatment by rank), I get the following error: model2<-co...

Hello R-help. I am trying to make a stacked barplot where the color of the sections of each bar depend on another variable. > myData[1:11,] score percent marker cellType Malignant 1 0 100.00000 ESR1 (ER) Bladder.M(5) TRUE 2 0 80.00000 PAX8 Bladder.M(5) TRUE 3 1 20.00000 PAX8 Bladder.M(5) TRUE 4 0 100.00000 ESR1 (ER) Brain.N(3) FALSE 5 0 100.00000 PAX8 Brain.N(3) FALSE 6 3 100.00000 ESR1 (ER) Breast.M(11) TRUE 7 0 100.00000 PAX8 Breast.M(11) TRUE 8...

The expected number of bladder cancer over next 20 years a tire industry is 1.8. Poission distribution is assumed to hold and 6 reported deaths are caused by bladder cancer among the employees. Trying to find how unusual this event is. > ppois(q=6, lambda=1.8, lower.tail = TRUE, log.p = FALSE) [1] 0.9974306 not sure if ppo...

It would be nice if the 00check.log file also included this part of the output: Running ?bladder.R? Comparing ?bladder.Rout? to ?bladder.Rout.save? ... OK Running ?book1.R? Comparing ?book1.Rout? to ?book1.Rout.save? ... OK Running ?book2.R? Comparing ?book2.Rout? to ?book2.Rout.save? ... OK etc. The survival package has enough test scripts that it exceeds my terminal's scrol...

Hello, In package survival should be a dataset bladder1. http://stat.ethz.ch/R-manual/R-devel/library/survival/html/bladder.html I can not open it (not found). Both bladder and bladder2 are there. Thanks, Petra

Dear volunteer: I am a graduate student of medcine in china.And now,I am devoting myself to constructing a nomograms of bladder cancer.I want to do it with R-project.However, I do not know how to construct a nomograms with R-project.I want to get yours help,thank you! I wish you can tell me the operating procedure of the R-project. And I apologize for my english,it is poor,sorry!...

...don't feel picked upon. It seems to be an infelicity shared by many other datasets even those in the canonical 'datasets' package. > survival_Rdata <- readRDS("/Library/Frameworks/R.framework/Versions/3.4/Resources/library/survival/data/Rdata.rds") > survival_Rdata $bladder [1] "bladder" "bladder1" "bladder2" $cancer [1] "cancer" $cgd [1] "cgd" "cgd0" $colon [1] "colon" $flchain [1] "flchain" $genfan [1] "genfan" $heart [1] "heart" "jasa" "jasa1&...

...t called "An Introduction to Recursive Partitioning Using the RPART Routines", while it does mention "exponential scaling", the explanation rather brief. I will be very grateful if someone could guide me to some more documentation. Here is some reproducible code: library(rpart) bladder1 <- bladder[bladder$enum < 5, ] fit <- rpart(Surv(stop, event) ~ rx + size + number, bladder1) print(fit) summary(fit) plot(fit, uniform=T, branch=.4, compress=T) text(fit, use.n=T) Here is an excerpt from summary(fit): Node number 56: 8 observations events=0, estimated rate=0.1858292...

Hello all: While I'm recovering from gall bladder surgery, I thought I'd do something useful (since sitting up is about the only comfortable position I can find)... like create a HOWTO Samba (-2.0.7-21ssl) on RH7 (w/ xinetd-2.1.8.9pre14). I have already sent off the request to the HOWTO coordinator at linuxdoc.org (has anyone noticed that the...

dear professor: I am a doctor of urinary,and I am developing a nomogram of bladder tumor.Now I have a problem about this. I have got the result like this through analysing the dataset "exp11.sav" through multinominal logistic regression by SPSS 17.0.(the Sig. is high,that is good ,it is just aexperimental data ) Parameter Estimates Ya B Std. Error Wald df Sig. E...

Dear Sir or Madam? I am a doctor of urology,and I am engaged in developing a nomogram of bladder cancer. May I ask for your help on below issue? I set up a dataset which include 317 cases. I got the Binary Logistic Regression model by SPSS.And then I try to reconstruct the model ?lrm(RECU~Complication+T.Num+T.Grade+Year+TS)? by R-Project,and try to internal validate the model through usin...

A user asked me about this and I can't figure it out. tmt% R R Under development (unstable) (2018-04-09 r74565) -- "Unsuffered Consequences" Copyright (C) 2018 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-bit) > library(survival) > data(cgd0) Warning message: In data(cgd0) : data set ?cgd0? not found ---- The data set is present and can be

...ed to Raman spectroscopy (see the address : http://hyperspec.r-forge.r-project.org/chondro.pdf) I am currently trying to remove outliers thanks to PCA just as they did in the documentation, but I get a message error I can't explain. Here is my code : "#import the data : T=read.table('bladder bis concatenation colonne.txt',header=TRUE) spec=new("hyperSpec",wavelength=T[,1],spc=t(T[,-1]),data=data.frame(sample=colnames(T[,-1])),label=list(.wavelength="Raman shift (cm-1)",spc="Intensity (a.u.)")) #baseline correction of the spectra spec=spec[,,500~1800]...

Hi there, I perform a stratified cox and then I need the strata as a  numeric array "straft.ln" ft.ln <- coxph(Surv(times,deaths)~ages+chemos+chemos:f1+chemos:f2+horms+horms:f1+horms:f2+grades+grades:f1+grades:f2+positives+positives:f1+positives:f2+sizes+sizes:f1+sizes:f2+strata(stra),data=ddd) basehazzft.ln=basehaz(ft.ln,centered=FALSE) H0ft.ln=c(basehazzft.ln[,1])

Tengo un modelo de regresión de Cox y quiero obtener el plot ajustado por una covariable (sexo) con la función ?ggadjustedcurves?, pero me da el siguiente error: > cox2 <- coxph(os ~ imc_25 + sexo.1, data = datos) > cox2 Call: coxph(formula = os ~ imc_25 + sexo.1, data = datos) coef exp(coef) se(coef) z p imc_25 -0.621 0.537 0.299 -2.08 0.038 sexo.1M 0.714

...al are correlated and thus would not be handled by standard methods. This is not actually an issue. .......................' so, does anyone recommend that I include the 'cluster(id)' term or does this only need to be utilised in the situation where there is multiple events (eg in the bladder cancer study by Wei, Lin and Weissfeld) ? I appreciate any help on the matter, Thanks, Zoe

Dear UseRs, Suppose I have data regarding smoking habits of a prospective cohort and wish to determine the risk ratio of colorectal cancer in the smokers compared to the non-smokers. What do I do at the end of the study with people who die of heart disease? Can I just censor them exactly the same as people who become uncontactable or who die in a plane crash? If not, why not? I'm thinking

Colin wrote: A lot of good sensible stuff. Well done Colin. Bill Seddon Lyquidity Solutions Limited -----Original Message----- From: asterisk-users-bounces@lists.digium.com [mailto:asterisk-users-bounces@lists.digium.com] On Behalf Of Colin Anderson Sent: February 23, 2005 3:54 PM To: 'Asterisk Users Mailing List - Non-Commercial Discussion' Subject: RE: [Asterisk-Users] List tips for

>This list is for discussions among users of Asterisk, not a getting >started hotline for beginners. Beginners learn by reading documentation >and examining the sample files included. Mmm, I (respectfully) disagree. One of the unstated objectives of mechanisms like this list is to evangelize the platform. Obviously, we all want it to do well. You can only do that by creating

Hi useRs - I was wondering if anyone out there can tell me where to find R-code to do mixes of tables and graphics. I am thinking of something similar to this: http://yost.com/information-design/powerpoint-corrupts/ or like the excel routines people are demonstrating: http://infosthetics.com/archives/2006/08/excel_in_cell_graphing.html My aim is to provide small graphics to illustrate