similar to: Deleting observations from baseline that don't appear in follow up

Hi all, I am running regressions with many covariates, most of which remain the same each time (control variables). Instead of writing 30 demographic variables every regression, is there a way I could call them all at once using a variable called, perhaps "demog"? I have tried: > demog <- list(age1, age2, age3) but I get an error when I try to call a list in a regression. I also

I have a data set with many missing observations. When I run a regression, R of course discards the observations (the whole row) that have "NA". I want to tabulate some baseline characteristics (column means) but only for the observations that R used for the regression. I tried to recreate this data frame by using na.omit on the original data frame, but this will not work as this will

Having used Open Office 1.9.x on the XP side of my box, I decided to install it on the CentOS side. (The default OO was 1.1.2, for heaven's sake!) I downloaded the Linux 386 version from the OO site. I immediately ran into problems-- 1) The installation instructions were for OO 1.x. 2) The download appears to be source RPMs. Although I've used UNIX & Linux for over 15 years,

I'm running wine, and quite oftem, I use good ol' PROGMAN.EXE as an access point to my win-apps. I launch Progman with the --managed option, but any applications I run from within Progman, are not run with this option. This is also a problem with program such as Aol Instant Messenger, when it creates its own sub windows and what not. Is there any place where I can configure how wine apps

In a general re-configuration of my box, I deleted and re-installed CentOS. OK, I need the gpg key. When, as suggested, I run rpm --import public.gpg.key I get: error: public.gpg.key: import read failed. So what do I do now? -mj-

OK, will do. Feels like a big hammer for a small nut - has there been any discussion about having loadable modules? Thanks for the quick reply! Larry Rosenman wrote on 21/07/18 18:59: > Yes, the defaults do not include DB support. > > Larry Rosenman > mail/dovecot maintainer > > -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi, Standard correlations (Pearson's, Spearman's, Kendall's Tau) do not accurately reflect how closely the model (GAM) fits the data. I was told that the accuracy of the correlation can be improved using a root mean square deviation (RMSD) calculation on binned data. For example, let 'o' be the real, observed data and 'm' be the model data. I believe I can calculate

Hello, I'm planning a conversion of a Windows server (SBS2011) to Samba. All the user data files are already on a separate disc in the Windows server and my idea is to unplug the Windows boot drive and plug in a FreeBSD installation with Samba 3.6.25 running and tested on another machine. Fortunately it's a small installation and everybody is using the same share on the Windows

we're testing a new NFS product for our mainframe system (Conectivitiy Systems TCP/IP for VSE) and have successfully mapped a virtual drive to our unix system (AIX 4.2). We use Samba (v.1.9.18p2) to share files with the Windows 95 and Windows NT systems in the building. We have attempted to map the "mapped" drive from the mainframe via Samba. We're able to see files in the

I am yet another person who is having a problem with Win98 clients needing to make several attempts before successfully logging in to our Samba box. I get the "broken pipe" message in the smb.log just like everyone else. This did not seem to be a problem until we got a phat broadband connection. All the Windows boxes are set to point to our ISP's DNS. I am not running DNS on the

I have an NEC DVD-RW ND2500A (that's not the label I bought it under, but that's what it really is.) It's supposed to read/write CDs, DVDs, DVD+Rs, and DVD-Rs. I'm basically dual booting between XP and CentOS 4. Following the recipe in "The Linux Cookbook", I tried to copy a DVD using: dd if=/dev/hdd of=/tmp/diskfile.iso then cdrecord dev=/dev/hdd fs=32m

Hi, I''ve not been able to get clean runs on this testsuite with snv_130+ bits, nor with snv_130. Would appreciate a pointer to snv_130 baseline results. thnks, -oscar

Greetings -- I would like to estimate a proportional hazard model with a weibull or lognormal baseline. I have looked at both the coxph() and survreg() functions and neither appear (to me ) to do it. Am I missing something in the docs or is there another terrific package out there that will do this. Many Thanks. Carl Mason

Hi, If I fit a Cox model using "coxph", is there a R function so that I could obtain the estimate of baseline survival function? Thank you. Zheng -- Zheng Yuan Ph.D student Department of Biostatistics University of Michigan Ann Arbor, MI 48109

? Hallo, which function can i use to do (baseline) logistic regression + goodness of fit tests? so far i found: # logistic on binary data lrm combined with resid(model,'gof') # logistic on binary data glm with no gof-test # baseline logit on binary data

Dear R-help, I am trying to obtain the baseline survival estimate of a fitted Cox model (S_0 (t)). I know that previous posts have said use 'basehaz' but this gives the baseline hazard function and not the baseline survival estimate. Is there a way to obtain the baseline survival estimate or do I have to use the formula which does something like S(t) = exp[- the integral from 0 to t of

Dear R-users, I would like to fit a fully parametric proportional hazard model with a weibull baseline hazard and a logit link function. This is, the hazard function is: lambda_i (t) = lambda_0 (t) psi (x_i* beta) where lambda_0 is a weibull distribution and psi a logistic distribution. Does someone know a package and/or function on R to do this? Thanks. -- M.L. Avendaño [[alternative HTML

Hello everyone, I want to fit a baseline category logit model (with 3-4 categories) with nested random effects. (For example, I have clusters(i) and households within clusters (j) resulting in the nested random effects structure : b_i +d_j(i)). Is there a R function/package that I can use ? Any help will be much appreciated. Thanks and regards, Dhiman Bhadra [[alternative HTML version

Hi, assume that I have a repeated measure dataset with 3 time points: baseline, day 5 and day 10. There are 4 treatment groups (vehicle, treatment 1, treatment 2 and treatment 3). 20 subjects per treatment group. A simple straight-forward way to analyze the data is to use mixed model: model 1: obj <- lmer(y ~ treatment * time +(time|subject)) where time is numeric with value 0,5 and 10.

Dear colleagues, I have the following dataset. It is modelled on the data included in Box-Seteffenheiser and Jones "Event History Modelling" Using the following code, I try to find the baseline hazard function haz_1<-muhaz(bpa$time, bpa$censored, subset=(bpa$year=="2010" | bpa$ban=="1"), min.time=1, max.time=3) I think I'm doing everything right, but what I