search for: meeker

Dear all, I am new to R and may make beginner mistakes. Sorry. I am learning using R to do survival analysis. As a start I used the example script code provided in the documentation of predict.survreg of the survival package: # Draw figure 1 from Escobar and Meeker fit <- survreg(Surv(time,status) ~ age + age^2, data=stanford2, dist='lognormal') plot(stanford2$age, stanford2$time, xlab='Age', ylab='Days', xlim=c(0,65), ylim=c(.01, 10^6), log='y') pred <- predict(fit, newdata=list(age=1:65), type='quantile', p=c(.1...

...Administrator | I met someone who looks a lot like you Levin College of Urban Affairs | She does the things you do Cleveland State University | But she is an IBM (216) 687-2214 | bob@meeker.csuohio.edu | -Jeff Lynne ****************************************************************************** ------------- End Forwarded Message ------------- ****************************************************************************** Speaking only for myself -...

...35.1527 -135.1527 for the 70 unweighted observations. (For the record, my computations of the loglikelihood, using the dweibull() function for the observations and the pweibull() function for the censored observations, is -135.1527 for both 37 weighted and 70 unweighted.) I am using the data from Meeker and Escobar, _Statistical Methods for Reliability Data_, Wiley (1998), Table C.1, shown below: Hours Status Num.Parts 450 Failure 1 460 R-Censored 1 1150 Failure 2 1560 R-Censored 1 1600 Failure 1 1660 R-Censored 1 1850 R-Censored 5 2030 R-Censored 3 2070 Failure 2 2080 Failure 1 2200...

...ze emails sent to me to this list. # David Smith -- David M Smith <dsmith at insightful.com> Product Manager, Insightful Corp, Seattle WA Tel: +1 (206) 802 2360 Fax: +1 (206) 283 6310 Insightful 2005 User Conference Princeton, NJ, Oct. 26-27, 2005 Don't miss the keynote by Dr. William Meeker Special Pricing: $199 commercial/$99 academic www.insightful.com/news_events/2005uc > -----Original Message----- > From: Bj??rn-Helge Mevik [mailto:bhs2 at mevik.net] > Sent: Tuesday, October 18, 2005 2:20 AM > To: r-help at stat.math.ethz.ch > Subject: Re: [R] Insightful Announces:...

I am a student (and very to new to R) working on a senior design project that is attempting to determine the demand distributions for single copy newspaper draws at individual sales outlet locations. Our sales data is right-censored, because sell-outs constitute a majority of the data, and we are also testing the relevance of including covariates (weather, seasonality, economic condition, etc.).

Hi all, I would like to ask whether anyone knows if the censorReg in S-plus regress the mean survival model or the hazard and if it uses the maximum likelihood in order to estimate the values? In addition, is there anyone knowing why censorReg does not exist in R and what's the difference between censorReg and survreg (besides the truncation)? Cheers,Skevi [[alternative HTML version

...Administrator | I met someone who looks a lot like you Levin College of Urban Affairs | She does the things you do Cleveland State University | But she is an IBM (216) 687-2214 | bob@meeker.csuohio.edu | -Jeff Lynne ******************************************************************************

...****************************************** Bob Martel - System Administrator | I met someone who looks a lot like you Levin College of Urban Affairs | She does the things you do Cleveland State University | But she is an IBM (216) 687-2214 | bob@meeker.csuohio.edu | -Jeff Lynne ******************************************************************************

...Administrator | I met someone who looks a lot like you Levin College of Urban Affairs | She does the things you do Cleveland State University | But she is an IBM (216) 687-2214 | bob@meeker.csuohio.edu | -Jeff Lynne ******************************************************************************

.../llvm-dev/2016-September/104778.html >> >> As with those emails, this is a complicated topic and deals with sensitive legal issues. I am not a lawyer, and this email is not intended to be legal advice in the formal sense. That said, I have spoken with many lawyers about this, Heather Meeker (a prominent and distinguished OSS licensing attorney) has agreed to represent the interests of the LLVM Community as independent counsel. This proposal incorporates all of their feedback. >> >> >> The goals of this effort are outlined in the first email but, in short, we aim t...

Hi all, Is there an equivalent to predict(...,type="linear") of a Proportional hazard model for a Cox model instead? For example, the Figure 13.12 in MASS (p384) is produced by: (aids.ps <- survreg(Surv(survtime + 0.9, status) ~ state + T.categ + pspline(age, df=6), data = Aidsp)) zz <- predict(aids.ps, data.frame(state = factor(rep("NSW", 83), levels =

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,

...ctober/091536.html As described in that email, this is a complicated topic and deals with sensitive legal issues. I am not a lawyer, and this email is not intended to be legal advice in the formal sense. That said, I have spoken with many lawyers about this, and the LLVM Foundation hired Heather Meeker (a prominent OSS licensing attorney) to represent the interests of the LLVM Community. This proposal incorporates all of their feedback, and Heather has further refined and approved this approach. The goals of this effort are outlined in the previous email but, in short, we aim to: - encourage...

...llvm.org/pipermail/llvm-dev/2016-September/104778.html As with those emails, this is a complicated topic and deals with sensitive legal issues. I am not a lawyer, and this email is not intended to be legal advice in the formal sense. That said, I have spoken with many lawyers about this, Heather Meeker (a prominent and distinguished OSS licensing attorney) has agreed to represent the interests of the LLVM Community as independent counsel. This proposal incorporates all of their feedback. The goals of this effort are outlined in the first email but, in short, we aim to: - encourage ongoing cont...

Dear list, I would like to simulate individual survival times from a model that has been fitted using the survreg procedure (library survival). Output shown below. My plan is to extract the shape and scale arguments for use with rweibull() since my error terms are assumed to be Weibull, but it does not make any sense. The mean survival time is easy to predict, but I would like to simulate

Dear All, I would like to fit some parametric survival models using left truncated, right censored data in R. However I am having problems finding a function to fit parametric survival models which can handle left truncated data. I have tested both the survreg function in package survival: fit1 <- survreg(Surv(start, stop, status) ~ X + Y + Z, data=data1) and the psm function in package

I hope this question is sufficiently different from the other requests for book recommendations that it's not repetitious. If not, I apologize in advance. I'm curious what standard reference books working statisticians, or biostatisticians, have within easy reach of their desk. I'm a computer systems administrator, and have a two-foot bookshelf directory under my monitor that contains

...il/llvm-dev/2016-September/104778.html> > > As with those emails, this is a complicated topic and deals with sensitive legal issues. I am not a lawyer, and this email is not intended to be legal advice in the formal sense. That said, I have spoken with many lawyers about this, Heather Meeker (a prominent and distinguished OSS licensing attorney) has agreed to represent the interests of the LLVM Community as independent counsel. This proposal incorporates all of their feedback. > > > The goals of this effort are outlined in the first email but, in short, we aim to: >...

On 11/17/2016 02:42 PM, Rowland Penny via samba wrote: > On Thu, 17 Nov 2016 14:32:16 -0500 > Robert Martel via samba <samba at lists.samba.org> wrote: > >> >> On 11/16/2016 04:34 PM, Rowland Penny via samba wrote: >>> Provided that the group urbanweb exists in /etc/group and your users >>> are shown by getent passwd or id, then you could try the unix

Hi I use gnls to fit non linear models of the form y = alpha * x**beta (alpha and beta being linear functions of a 2nd regressor z i.e. alpha=a1+a2*z and beta=b1+b2*z) with variance function varPower(fitted(.)) which sounds correct for the data set I use. My purpose is to use the fitted models for predictions with other sets of regressors x, z than those used in fitting. I therefore need to