search for: histologic

Suppose I have a dataset contain three variants, looks like > head(dta) Sex tumorsize Histology time status 0 1.5 2 12.1000 0 1 1.8 1 38.4000 0 ..................... Sex: 1 for male; 0 for female., two levels Histology: 1 for SqCC; 2 for High risk AC; 3 for low risk AC,

First, as others have said please obey the mailing list rules and turn of First, as others have said please obey the mailing list rules and turn off html, not everyone uses an html email client. Here is your code, formatted and with line numbers added. I also fixed one error: "y" should be "status". 1. fit0 <- coxph(Surv(futime, status) ~ x1 + x2 + x3, data = data0) 2. p

Dear all, I have a couple of questions regarding the survival:::cch function. 1) I notice that Prentice and Self-Prentice functions are giving identical standard errors (not by chance but by programming design) while their estimates are different. My guess is they are both using the standard error form from Self and Prentice (1986). I see that standard errors for both methods are

First time user, so sorry if I don't understand protocol.. Anyway, I have created a data frame consisting of pearson's R values at various x and y coordinates and then plotted this using filled.contour. My data is similar to fMRI data except that it is a surface map reconstructed from histological sections. I like the results but would like to know how contours were detected. Google search provides me various sources claiming the algorithm used is undocumented. For example: http://wipaed.wiso.uni-goettingen.de/~holdenb1/R/library/base/html/contour.html "Draws contour lines for the d...

Hello, i'm a french student of medical oncology and i'm working on breast cancer. I have a variable with the histologic type of tumor wich is between 1 and 5. I use as.factor function to make some variable with level between 1 and 5. When i put it in the cox model i have only the level between 2 and 5. The level 1 doesn't appear. I think i have to change the number of level but i don't really know. Pleas...

...nverting it to pdf using pdftex in miktex). Thanks, Mike Babyak Department of Psychiatry and Behavioral Science Duke University Medical Center ************************** Here's the code: library(Hmisc) library(survival) getHdata(pbc) pbc<-upData(pbc, moveUnits=TRUE, labels=c(stage='Histologic Stage\nLudwig Criteria')) kmsurv <- function(S, times) { f <- survfit.km(factor(rep(1,nrow(S))), S) tt <- c(0, f$time) ss <- c(1, f$surv) # add first point to survival curve approx(tt, ss, xout=times, method='constant', f=0)$y } describe.survival <- function(y) { km &l...

I'm running pretty bog-standard RedHat 7.3, samba 2.2.3a. I upgraded to that a month ago and there were no problems until Monday afternoon, when samba hung and all my Windows users reported problems. Running top revealed an smbd process using 99% CPU and killing that fixed the problem -- until it recurred a few hours later. I've tried restarting samba completely, rewriting my smb.conf

Dear R users, I'm trying figuring out with forest plot and rmeta. Here's my code... library(rmeta) tabletext <- structure(c("", NA, "Sex", "[F]", "[M]", NA, "Age class", "(0,60]", "(60,80]", NA, "Karnofsky class", "[70;90]",

Dear All, We are seeking a computational research scientist interested in studying the roles of non-coding RNAs in cancer. The successful applicant will join the Cancer Research UK RNA Biology Group at the Cancer Research UK Manchester Institute (www.cruk.manchester.ac.uk). Located in Manchester UK, the Cancer Research UK Manchester Institute is a centre for excellence in cancer research. We

Dear WizaRds, I am struggling with the use of twophase in package survey. My goal is to compute a simple example in two phase sampling: phase 1: I sample n1=1000 circuit boards and find 80 non functional phase 2: Given the n1=1000 sample I sample n2=100 and find 15 non functional. Let's say, phase 2 shows this result together with phase 1: ...................phase1........

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----- begin included message In case cohort study, we can fit proportional hazard regression model to case-cohort data. In R, the function is cch() in Survival package Now I am working on case cohort analysis with time dependent covariates using cch() of "Survival" R package. I wonder if cch() provide this utility or not? The cch() manual does not say if time dependent covariate is

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