search for: epilepsi

I want to do a logistic regression without an intercept term. This option is absent from glm, though present in some of the inner functions glm uses. I gather glm is the standard way to do logistic regression in R. Hoping it would be passed in, I said > r <- glm(brain.cancer~epilepsy+other.cancer, c3, > family=binomial(link="logit"), intercept=FALSE) which produced

Using Debian Sarge, samba, CUPS, and an HP G85 mutifunction with HPOJ to use the G85 USB connection, I've been able to get raw printing to work, and Point 'n' Print driver download to work, but not at the same time. The driver download was a chore, because of HP's proprietary install program. Had to install the driver locally to get the needed files and copy them manually to the

Hi everyone, We have been trying to construct a Lasso-cox model with discrete time. We conducted follow-up examinations on the epileptic attack after tumor surgical resection among glioma patients. The patients are followed-up in the 6/12/24 months after surgical resection, which makes the epilepsy-free time discrete (6/12/24 months). We calcluated many features from the T2-images

To whom it may concern: My name is Jillian Weinfeld. I am currently and undergraduate student at New York University and working at Mount Sinai School of Medicine doing research with epilepsy patients. At the moment I am creating a manhattan plot with my data set. After reading many forums and such, I have appropriately plotted my data, however, I wanted to see how I can change the colors of the

Full_Name: José Otero Version: Version 1.5.0 (2002-04-29) OS: Redhat 7.3 Submission from: (NULL) (192.187.16.164) Hi: Installation of package faraway as root, from tarbal: R CMD INSTALL ./faraway.tar.gz ERROR: cannot extract package from './faraway.tar.gz' idem, from zipped package: R CMD INSTALL faraway.zip gzip: faraway.zip has more than one entry--rest ignored ERROR: cannot

Dear R-users, A recent post (Feb 16) to R-help inquired about fitting a glmm with a negative binomial distribution. Professor Ripley responded that this was a difficult problem with the simpler Poisson model already being a difficult case: https://stat.ethz.ch/pipermail/r-help/2005-February/064708.html Since we are developing software for fitting general nonlinear random effects models we