search for: uncensored

Does anyone know of an R package that I can use to uncensor a normal or log-normal dataset? I'm particularly interested in the MLE method of Cohen (1959), "Simplified estimators for the normal distribution when samples are single censored or truncated," Technometrics, 1(3), 217-237. Of course, if there is anything better, I'd be glad to hear about that too. Thanks. Rick

...This is a basic question. I want to fit a Weibull distribution. fitdistr(data, "weibull") works and it is a maximum likelihood fitting. Is it a good method ? Or is it better to write a function for the log-likelihood and the gradient and to use a numerical routine ? Fitdistr works for uncensored data, but what can I use for censored (and uncensored) data ? Thank you very much [[alternative HTML version deleted]]

Since I read the list in digest form (and was out ill yesterday) I'm late to the discussion. There are 3 steps for predicting survival, using a Cox model: 1. Fit the data fit <- coxph(Surv(time, status) ~ age + ph.ecog, data=lung) The biggest question to answer here is what covariates you wish to base the prediction on. There is the usual tradeoff between too few (leave out something

.../lttsn32.dll is in use by another application and terminates install. Help me? BTW I get a message about contacting Microsoft support about mytab11.c. Well this is a Microsoft clean installation. Took me hours to the point where the installer will load and run. -----= Posted via Newsfeeds.Com, Uncensored Usenet News =----- http://www.newsfeeds.com - The #1 Newsgroup Service in the World! -----== Over 80,000 Newsgroups - 16 Different Servers! =-----

...#X2 Covariate=Type of treatment(1=chemo,0=radio) # L1<-length(cens) #number of censored# for (j in 1:L1) { if ((cens[j]==1)&(curd[j]==0)) {(cen[j]=1)&(cur[j]=1)} else {(cen[j]=cens[j])&(cur[j]=curd[j])} } Now, the following is my data: ####### My Data only with uncensored and right censored #################### data=data.frame(Ti=dat1$time,Censored=cen) #################### Estimation using Surv pakage ############################ library(survival) survreg(Surv(Ti, Censored)~1, data=data, dist="lognormal") ########### Seperating the data for simply using...

Hello, I have setup mod_ntlm_winbind to provide authentication for an Apache 1.3.33 webserver running on Fedora Core 3. The authentication works, but I have run into a problem when using Internet Explorer. It seems that the problem might be with Internet Explorer itself, but here is what I think is happening - the browser will not submit any forms with a POST method on a website protected with

...00 ... $ ceneq1 : logi TRUE FALSE TRUE FALSE FALSE FALSE ... $ floor : num 0 0.106 0 231 231 0.011 0 0 0 100 ... $ ceiling : num 0.005 0.106 1 231 231 0.011 0.001 0.002 0.001 100 ... The logical 'preeq0' separates sampdate into two groups; 'ceneq1' indicates censored/uncensored values; 'floor' and 'ceiling' are the minima and maxima for censored values. The NADA package methods will be used, but I have not found information on whether this format or the wide (i.e., spreadsheet) format should be used. The NADA.pdf document doesn't tell me; at least,...

I read through Harrington and Fleming (1982) but it is beyond my statistical comprehension. I have survival data for insects that have a very finite expiration date. I'm trying to test for differences in survival distributions between different groups. I understand that the medical field is most often dealing with censored data and that survival analysis, at least in the package survival,

...d=1): x1 = My comorbidity score, x2 = Charlson [,1] Dxy "-0.0605" S.D. "0.00648" x1 more concordant "0.4697" x2 more concordant "0.5302" n "1.369e+04" missing "0" uncensored "9411" Relevant Pairs "1.587e+08" Uncertain "2.861e+07" C X1 "0.395" C X2 "0.401" Dxy X1 "-0.21" Dxy X2 "-0.198" I am aware that because a high hazard mean...

...): x1 = My comorbidity score, x2 = Charlson [,1] Dxy "-0.0605" S.D. "0.00648" x1 more concordant "0.4697" x2 more concordant "0.5302" n "1.369e+04" missing "0" uncensored "9411" Relevant Pairs "1.587e+08" Uncertain "2.861e+07" C X1 "0.395" C X2 "0.401" Dxy X1 "-0.21" Dxy X2 "-0.198" I am aware that because a high hazard me...

...xp(400) + (x1 - min(x1)) > cens <- runif(400,.5,2) > death <- d.time <= cens > d.time <- pmin(d.time, cens) > rcorrp.cens(x1, x2, Surv(d.time, death)) Dxy S.D. x1 more concordant x2 more concordant n missing uncensored Relevant Pairs -8.902077e-03 2.649712e-01 4.955490e-01 5.044510e-01 4.000000e+02 0.000000e+00 4.000000e+00 1.348000e+03 Uncertain C X1 C X2 Dxy X1 Dxy X2 1.582520e+05 9.955...

...the following survival data: set.seed(123) n=200 #sample size x=rbinom(n,size=1,prob=.5) #binomial treatment v=rgamma(n,shape=1,scale=1) #gamma frailty w=rweibull(n,shape=1,scale=1) #Weibull deviates b=-log(2) #treatment's slope t=exp( -x*b -log(v) + log(w) ) #failure times c=rep(1,n) #uncensored indicator id=seq(1:n) #individual frailty indicator group=rep(1:(n/10), 10) #shared frailty indicator Then I'm using the survival package in R 1.9.1 to estimate the following Cox models with frailty: fit1=coxph(Surv(t,c)~x+frailty (id,dist='gamma',sparse=TRUE,method='em'...

...#39;ve got the correct (as far as I can tell) PPD file installed. At this point, I'm out of ideas and just using The GIMP to do window caps to print. I'd much rather do it from the program, of course. Does anyone have any ideas? Thanks, Drew Dunn -----= Posted via Newsfeeds.Com, Uncensored Usenet News =----- http://www.newsfeeds.com - The #1 Newsgroup Service in the World! Check out our new Unlimited Server. No Download or Time Limits! -----== Over 80,000 Newsgroups - 19 Different Servers! ==-----

...t;] - 1.96*se Upper95 <- x["C Index"] + 1.96*se cbind(x["C Index"], Low95, Upper95) } Then, > MyModel.lrm.rcorr <- rcorr.cens(x=predict(MyModel.lrm), S=df$outcome) > MyModel.lrm.rcorr C Index Dxy S.D. n missing uncensored 0.8222785 0.6445570 0.1047916 104.0000000 0.0000000 104.0000000 Relevant Pairs Concordant Uncertain 3950.0000000 3248.0000000 0.0000000 > CstatisticCI(x5factor_final.lrm.pen.rcorr) Low95 Upper95 C Index 0.8222785 0.8021382 0.8424188...

Hi, I am trying to get the maximum likelihood estimator for lognormal distribution with censored data;when we have left, interval and right censord. I built my code in R, by writing the deriving of log likelihood function and using newton raphson method but my estimators were too high " overestimation", where the values exceed the 1000 in some runing of my code. is there any one can

Dear R-help, This is an example in the {Hmisc} manual under rcorr.cens function: > set.seed(1) > x <- round(rnorm(200)) > y <- rnorm(200) > round(rcorr.cens(x, y, outx=F),4) C Index Dxy S.D. n missing uncensored Relevant Pairs Concordant Uncertain 0.4831 -0.0338 0.0462 200.0000 0.0000 200.0000 39800.0000 19228.0000 0.0000 That S.D. confuses me!! It is obviously not the standard deviation of x or y.. but there is only one realization of t...

...as id variables > chem.cast <- dcast(chem.melt, site + sampdate + preeq0 + ceneq1 + floor + ceiling ~ param) Error in eval(expr, envir, enclos) : object 'sampdate' not found Because these data have some censored data there is the logical indicator (ceneq1) to identify censored and uncensored values the the interval ends (floor and ceiling) for multiply censored values. One factor of analytical interest whether the sampdate is pre- or post-event; that uses the logical indicator preeq0. Please point out where my melt() and dcast() syntax was incorrect. I will provide more information...

...elt prefers not to see female breasts, Dutch start frowning at genitals and Japanese at pubic hair. Let's just say that MTV Europe is a strange mix of (un)censorship depending on from who they got a video and what the target market was. Khia loses lip sync because someone decided to put the uncensored lyrics under the USA videoclip. Why not have it all and let the player decide what to play. Multiple layers for censored and uncensored scenes, bandwidth saved by a composition track which tells what scenes / layers to show and what can be used in all movies displayed. Standardized naming of co...

...viously I'm missing something! Any help or places to look appreciated.... "testparm" attached -- -- Karl Denninger (karl@denninger.net) Internet Consultant & Kids Rights Activist http://www.denninger.net My home on the net - links to everything I do! http://scubaforum.org Your UNCENSORED place to talk about DIVING! http://genesis3.blogspot.com Musings Of A Sentient Mind Running 3.0.20b; here's the output of "Testparm" Load smb config files from /usr/local/etc/smb.conf Processing section "[homes]" Processing section "[printers]" Processing sectio...

...to make the calculations faster. The exact calculation is obtained by running f <- lrm(...) rcorr.cens(predict(f), DA), which results in: C Index Dxy S.D. n missing 0.96814404 0.93628809 0.03808336 32.00000000 0.00000000 uncensored Relevant Pairs Concordant Uncertain 32.00000000 722.00000000 699.00000000 0.00000000 I.e., C=.968 instead of .963. But this is even farther away than the value from SAS you reported. If you don't believe the rcorr.cens result, create a tiny example and do the calculatio...