similar to: New Package on Lancet Surveys of Iraq Mortality

That's great.....it's a virus I tell you * is everywhere :) Viva la asterisk. Cheers, Dean > -----Original Message----- > From: asterisk-users-bounces@lists.digium.com [mailto:asterisk-users- > bounces@lists.digium.com] On Behalf Of Mark Phillips > Sent: Friday, 3 June 2005 6:46 AM > To: Asterisk Users Mailing List - Non-Commercial Discussion > Subject:

So I go into a new Apple store on Sat to buy some stuff for my Mini, and I notice some Snom 360's on the sales counter. Venturing a question, I ask, are they using Asterisk? Guys says yes. Cool! I said: What kind of box are you using. He points to a Mini sitting on the counter! 2 X cool! He's using a SIP-FX0 converter. Plug: http://www.mymacdealer.com great store in Alberta. Anyone else

I came across this one: http://www.nysun.com/article/32787 which says that the violent death rate in Iraq (which presumably includes violent deaths from the war) is lower than the violent death rate in major American cities. Does anyone have any insights from statistics on how to interpret this?

Dear all, I'm trying reproduce an example of bioassays Yielding Concentration-Mortality Data particularly control - adjustment model from book Bioassay of Entomopathogenic Microbes and Nematodes chapter 7 with R. I used glm with family=binomial and link=probit, but I do not know how to implement parameter gamma (control mortality - mortality of the untreated control insect in this exaple)

Dear R-users, I computed a simple coxph model and plotted survival over time with associated confidence intervals for 2 covariate levels (males and females). M1 <- coxph(survobject~sex, data=surv) M1 survsex <- survfit(survobject~sex,data=surv) summary(survsex) plot(survsex, conf.int=T, col=c("black","red"), lty = c(1,2), lwd=c(1,2), xlab="Time",

Hi All, I am relatively new to R (took a class 2 yrs ago ...), and am hoping someone can point me in the right direction for a problem I'd like to solve in R : I would like to calculate the relative mortality of a particular impairment, relative to the standard population. I.e. I'm trying to find S_relative(t) in the eqn below : S_impar(t) = S_standard(t) * S_relative(t) where

I'll try to be more clear, but will have to give much more info. Here we go.... As part of my Masters in Public Health I writing a dissertation reviewing the mortality trend of internally displaced persons in camp settings in Sub Saharan Africa. I have 50 surveys with - crude mortality rate (cmr), CMR lower confidence interval(cmrlci), CMR upper confidence interval(cmruci), - recall period

Dear R Users: I have the individual mortality rate and 95% CI of 100 hospitals, how to do the plot with the individual hospital in the Yaxis, and the mortality rate and 95% CI in the Xais and a overall mean as a reference line? Thanks and regards, Xin [[alternative HTML version deleted]]

I have a mortality data over many years and I wish to plot the data and also add some smoother to clearly highlight the trend. How could I do that in R with base graphics or ggplot? I have the following sample data: require(lubridate) mdate<-seq(ymd('2000-01-01'),ymd('2010-12-31'), by = '1 day') death<- rnorm(4018, 80, 45) df<-cbind(mdate,death)

Hi everyone, We are looking for some data sets working with relative risk mortality. so, someone know where can I find the data.mgus dataset and the data.mgus? Using 1384 records from Minnesota. This data set are used in the : Robert A. Kyle, Terry M. Therneau, S. Vincent Rajkumar, Janice R. Offord, Dirk R. Larson, Matthew F. Plevak, and L. Joseph Melton III. A long-term study of prognosis in

Matt McCutchen wrote: >I'm contacted by a lot of companies that want me to review their products. >Most of them are decent, but don't live up to the standards of the other >products on my site. However, after reviewing SirLook, I was very >impressed with SirLook, because they offer a service that actually matches >you up with surveys that you qualify for. A lot of survey

Does anyone know of another version of the Mcnemar test that provides: 1. Odds Ratios 2. 95% Confidence intervals of the Odds Ratios 3. Sample probability 4. 95% Confidence intervals of the sample probability Obviously the Odds Ratios and Sample probabilities are easy to calculate from the contingency table, but I would appreciate any help on how to calculate the confidence

hi, A new version of rapidfire gem (v1.2.0) is released Rapidfire gem makes adding dynamic surveys very easy in your rails application. source: https://github.com/code-mancers/rapidfire docs: http://rdoc.info/gems/rapidfire/frames demo: https://rapidfire.herokuapp.com Changes (v1.2.0) * Rails 4 is now supported * A new api is exposed to fetch survey results. It also

R-devel, I'm in the process of choosing a name for a new package. I've already decided that the name will have two parts, 'portfolio' and 'sim', but can't decide between 'portfolioSim' and 'portfolio.sim'. Is there any good reason to choose one over the other? Thanks in advance, Jeff -- Jeff Enos Kane Capital Management jeff at kanecap.com

We would like to announce the availability of the 'portfolio' package in R for analysing equity portfolios. Version 0.2-0 is now available on CRAN. To take a look, you can: > install.packages("portfolio") ... > vignette("portfolio") and play around. Those who would just like to check out an introduction can simply look at:

We would like to announce the availability of the 'portfolio' package in R for analysing equity portfolios. Version 0.2-0 is now available on CRAN. To take a look, you can: > install.packages("portfolio") ... > vignette("portfolio") and play around. Those who would just like to check out an introduction can simply look at:

I have learned a lot from this list. I would like to thank the developers and contributors who devote so much of their time to this project. Does anyone know if any methods have been developed for handling data from complex sample surveys that include sample weights, clusters, strata, and so on? I know that SUDAAN, Stata have some abilities. Does anything exist in R/S? Paul E. Green

Hi, Is there an R package for estimating sample size requirements for parameter estimation in sample surveys? In particular, I'm interested in sample size estimation for stratified and systematic sampling. I have a textbook with appropriate formulae, but it'd be nice if I didn't have to type in all of the equations. Thanks Tom

Good afternoon! My question is more of a "is there a package for doing........?" an inference regarding the mean, median, regression estimates, etc. by using the information from dual frame surveys? (this methodology is based on the work of BANKIER 1986, SKINNER 1991, LOHR and RAO 2000...) If one has 2 independent studies which both independently measure a trait of a

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