search for: censoring

Displaying 20 results from an estimated 732 matches for "censoring".

2010 Jul 20
1
Servreg $loglik
Dear R-experts: I am using survreg() to estimate the parameters of a Weibull density having right-censored observations. Some observations are weighted. To do that I regress the weighed observations against a column of ones. When I enter the data as 37 weighted observations, the parameter estimates are exactly the same as when I enter the data as the corresponding 70 unweighted observations.
2015 Jan 12
3
Polycom instant messages
-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Is it possible to use the instant messaging feature of Polycom phones in Asterisk? At the moment I'm seeing this in the SIP messaging when I try to send one from a Polycom 450. <--- SIP read from UDP:<CENSORED POLYCOM IP>:5060 ---> INVITE sip:0100@<CENSORED>:5060;user=phone SIP/2.0 Via: SIP/2.0/UDP <CENSORED POLYCOM
2007 Apr 29
2
how to code the censor variable for "survfit"
Dear r-helpers, This is my first time to run survival analysis. Currently, I have a data set which contains two variables, the variable of time to event (or time to censoring) and the variable of censor indicator. For the indicator variable, it was coded as 0 and 1. 0 represents right censor, 1 means event of interest. Now I try to use "survfit" in the package of "survival". I wrote the following code: > rptsurv <- survfit(surv(time,censor)~1,d...
2005 Oct 05
1
how do I write Rd file for this?
Dear R-devel, I'm working on Prof. Loader's new version of locfit to try to get it pass R CMD check. I'm almost there, but I have a problem with some Rd files that I hope some one can help me resolve. Here's an example: In the package there's a function called locfit.censor(). This function can be used in a few different ways: locfit.censor(x, y, cens, ...)
2008 Nov 24
3
select a subset
I have the complete data like id time censor 1 10 0 1 20 0 1 30 0 2 10 0 2 20 1 2 30 0 2 40 0 3 10 0 3 20 0 3 30 1 .... for id 1, i want to select the last row since all censor indicator is 0; for id 2, i want to select the row where censor ==1; for id 3, i also want to select the row where censor==1. So if there is a 1 for censor, then I want to select such a row, otherwise I want to select the
2000 Sep 19
4
methods for interval-censored data
Dear all, Are there functions or packages in R that can handle interval-censored data? I have looked in various packages (such as survival5 or event), but it seems that only right-censored data can be analysed. More generally, are there methods to analyse both interval-censored observations and right-censored observations in the same data set? Thanks in advance. Emmanuel Paradis
2006 Feb 13
2
Survreg(), Surv() and interval-censored data
Can survreg() handle interval-censored data like the documentation says? I ask because the command: survreg(Surv(start, stop, event) ~ 1, data = heart) fails with the error message Invalid survival type yet the documentation for Surv() states: "Presently, the only methods allowing interval censored data are the parametric models computed by 'survreg'"
2012 Oct 09
3
After upgrade to 3.0: Warning: Error 400 on SERVER: Could not retrieve facts for
I auto-upgraded puppet (as usual) using "yum upgrade -y", and now all agents are getting error 400. # puppet --version 3.0.0 On agent (any!) # puppet agent --test Warning: Unable to fetch my node definition, but the agent run will continue: Warning: Error 400 on SERVER: Could not retrieve facts for build6.[censored]: Failed to find facts from PuppetDB at abyss.[censored]:8081:
2008 Dec 23
6
Interval censored Data in survreg() with zero values!
Hello, I have interval censored data, censored between (0, 100). I used the tobit function in the AER package which in turn backs on survreg. Actually I'm struggling with the distribution. Data is asymmetrically distributed, so first choice would be a Weibull distribution. Unfortunately the Weibull doesn't allow for zero values in time data, as it requires x > 0. So I tried the
2013 Jun 25
1
censor=FALSE and id options in survfit.coxph
Terry, I recently noticed the censor argument of survfit. For some analyses it greatly reduces the size of the resulting object, which is a nice feature. However, when combined with the id argument, only 1 prediction is made. Predictions can be made individually but I'd prefer to do them all at once if that change can be made. Chris ##################################### # CODE # create
2015 Jan 12
0
Polycom instant messages
I didn't know that instant messaging was a feature with the Polycom's. Do you have any documentation, how-to's, etc. that you can point me to? That would be just way too cool. Thanks; John -----Original Message----- From: asterisk-users-bounces at lists.digium.com [mailto:asterisk-users-bounces at lists.digium.com] On Behalf Of Michael Englehorn Sent: Monday, January 12, 2015 12:19
2008 Mar 12
1
survival analysis and censoring
In your particular case I don't think that censoring is an issue, at least not for the reason that you discuss. The basic censoring assumption in the Cox model is that subjects who are censored have the same future risk as those who were a. not censored and b. have the same covariates. The real problem with informative censoring are the cova...
2007 Nov 29
1
Survreg(), Surv() and interval-censored data
...'survreg'" > > Any pointers as to what I'm missing? > You are specifying left-truncated, right-censored data, not interval-censored. You need the type= argument, eg > Surv(c(1,1,NA,3),c(2,NA,2,3),type="interval2") [1] [1, 2] 1+ 2- 3 specifies interval censoring at [1,2], right-censoring at 1, left-censoring at 2, and an observed event at 3. -thomas
2008 Mar 13
1
How to set type of censored data in coxph regression
Dear R users, I tried to analysis the hazard function of some data by coxph function in survival package. The type of the data include "left-censored", "right-censored", "both right-censored and left-censored" (btw, does this has a technical term?), and "complete" ones. I noticed that event (one parameter in "Surv()") might be an indicator for the
2012 Aug 15
1
NADA package/cenboxplot() method: maximum censored percentage
One set of data has censored (less-than detection limits) water chemistry concentrations for 80-100% of all observations. My initial trial-and-error attempts to apply the cenboxplot() method suggests that it has an upper limit to the percentage of censored observations. I do not see this limit in Dennis Helsel's second edition. Has anyone experience plotting censored data and can provide
2004 Nov 09
2
Data Censoring and Normality Tests
Hello, I would like to know if there is a function in R that will test for normality and handle censored data sets. Currently, I evaluate each censored data set by the extent to which a normal scores plot approximate a straight line. For complete data sets I use shapiro.test(). Below is an example of a censored data set. data1<-c(0.00, 0.00, 0.00, 5.86, 5.17, 8.17, 5.12, 4.92, 7.08,
2005 Jul 24
2
Mean and variance of the right-censored data
Hi, I need to get mean and variance of right censored data. How can I do that? I have a vector of values (called a) and vector of booleans (whether value is censored) (called b). What to do with this? Sorry, I'm R beginner. Thank you! Pete
2011 Aug 26
2
How to generate a random variate that is correlated with a given right-censored random variate?
Hi, I have a right-censored (positive) random variable (e.g. failure times subject to right censoring) that is observed for N subjects: Y_i, I = 1, 2, ..., N. Note that Y_i = min(T_i, C_i), where T_i is the true failure time and C_i is the censored time. Let us assume that C_i is independent of T_i. Now, I would like to generate another random variable U_i, I = 1, 2, ..., N, which is correlated...
2012 Aug 31
3
fitting lognormal censored data
...on, I got problem with estimation, where it was too high" overestimation". Is there any one cen help me to know my problem when can be or recommend me to read some good references that can be useful? Best regards.  Below is the example,   cur=curd=cen=cens=array(1,100) Cur=RealCur=realcensoring=realcured=array(1,20) ExpCure=Bias=RealCure=array(1,21) ################################## Z1=c(rbinom(100,1,0.5)) Z2=c(rbinom(100,1,0.5)) dat1<-data.frame(time=rlnorm( 100,2,0.8),Censored=rbinom(100,1,0.9),Cured=rbinom(100,1,.3)) dat2<-dat1[order(dat1[,1]),] # order the dat...
2011 Aug 31
1
formatting a 6 million row data set; creating a censoring variable
...3 0 [6,] 3 B 3 1 [7,] 4 A 1 1 I need to create 2 variables. The first one is a time variable. Observe that for id=2, the variable mygroup=B was observed 3 times. In the solution we see in row 2 that id=2 has a mytime variable of 3. Next, I need to create a censoring variable. Notice id=2 goes through has values of B, C, D for mygroup. This means the change from B to C and C to D is observed. There is no change from D. I need to indicate this with a 'censoring' variable. So B and C would have values 0, and D would have a value of 1. As another example...