search for: inhibitor

...------------------ ######################################################## # Compute the Hosmer-Lemeshow 'goodness-of-fit' test cd.full_model = glm(formula = Collaterals ~ CHF + Age + CABG + relevel (as.factor (num.obst.vessels),"one") + Current.smoker + DM + HTN + ace.inhibitor + MI, family = binomial(link = "logit")) hosmerlem = function(y, yhat, g=10) { cutyhat = cut(yhat, breaks = quantile(yhat, probs=seq(0, 1, 1/g)), include.lowest=TRUE) obs = xtabs(cbind(1 - y, y) ~ cutyhat) expect = xtabs(cbind(1 - yhat, yhat) ~ cutyhat) chisq = sum(...

...on that vlan can move files at great speeds. Map one of them to the NAS and it crawls. I recall last year setting up a Linux server and seeing a huge slow down then too. That pretty much forced me to move to a Windows server. I know it's LAN related. Something in our Cisco switches must be the inhibitor but I don't know what. I'm taking one of these NAS's home tonite to test there. I expect to see normal speeds. Does anyone know of anything that could cause this from a switch/router IOS perspective? We do have ICMP limited through our WAN, would this be an inhibitor? That wouldn't...

Dear list, I have a degradation model: dX/dt = * I(X2)*( k1*X(t) )/( X(t)+k2 ) where X(t) is concentration at time t, and k1 and k2 are parameters that I want to estimate. I(X) is a known inhibitor function. My questions is whether this is implemented or easily computed in any R package. I have searched the archives but without luck. Any help or comments on this would be appreciated, Klaus Andersen

Dear all, Here is my code which am using to combine 5th column from different data sets. Here is the function to do my job genesymbol.append.file <-NULL gene.column <- NULL readGeneSymbol <- function(files,genesymbol.column=5){ for(i in fnames){ temp <- read.table(fnames,header=T,sep="\t",stringsAsFactors=F,quote="\"")

I am new to R, therefore this might be a naive question, sorry in advance for that. I have data on 4 groups of mice (#of subjects: 8,8,8,9) where the first group is the control group and 2-4 are 3 doses of a neuro-inhibitor. For each mouse we measured the exploration time of a familiar and a new object (thus repeated measure design), and I want to test whether there are different exploration times between 'familiar' and 'new' and whether drug treatment has an effect on exploration plus the combined...

.... About AVEO AVEO Pharmaceuticals (NASDAQ: AVEO) integrates a proprietary cancer biology platform with drug development and commercial expertise in its efforts to discover and develop targeted cancer therapeutics. The company's lead product, Tivozanib, is an oral, triple VEGF receptor inhibitor with potential for a best-in-class profile. Tivozanib is currently being investigated in a global, randomized Phase 3 clinical trial called TIVO-1 <http://cts.businesswire.com/ct/CT?id=smartlink&url=http%3A%2F%2Fwww.ave opharma.com%2Ffor_patients%2F&esheet=6299494&lan=en_US&ancho...

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

At OLS I gave a talk on some of the Xen scalability inhibitors, and one of these was writable page tables. We went over why the feature does not scale, but just as important, we found that the uniprocessor case does not provide any advantage either. These tests were done on x86_64, so I wanted to run the 1-way test on 32 bit to show the same problem....

We are using MySQL, and love the idea of using zfs for this. We are used to using Direct I/O to bypass file system caching (let the DB do this). Does this exist for zfs? This message posted from opensolaris.org