similar to: mid-p CIs for common odds ratio

At work after updating to R 2.5 I get an error using epitab from package epitools, when at home (R 2.4) I get no error. Could someone help me? Thanks Pietro Bulian Servizio di Onco-Ematologia Clinico-Sperimentale I.R.C.C.S. Centro di Riferimento Oncologico Via Franco Gallini 2 33081 Aviano (PN) - Italy phone: +39 0434 659 412 fax: +39 0434 659 409 e-mail: pbulian at cro.it (at work)

Hi, I was wondering if there was some sort of package or function that calculated asymmetric confidence intervals for small proportions. I thought of both the epicalc and epitools package, but I am hoping to find something where you can just plug in a standard error and point estimate and it will output the upper and lower CI bounds. Thanks! Sarah

Dear all, I have been trying to find a function to calculate the Breslow-Day test for homogeneity of the odds ratio in R. I know the test can be preformed in SAS but i was wondering if anyone could help me to perform this in r. In addition i have the fullrefman file to search for functions in the basic R packages, does anyone have any suggestions of an efficient way of searching for

Just a general question concerning the woolf test (package vcd), when we have stratified data (2x2 tables) and when the p.value of the woolf-test is below 0.05 then we assume that there is a heterogeneity and a common odds ratio cannot be computed? Does this mean that we have to try to add more stratification variables (stratify more) to make the woolf-test p.value insignificant? Also in the

We are using glm() to models to counts of deaths due to rare causes using a log link and Poisson error distribution, with population as the offset. Approximate confidence intervals for the parameter estimates are easy to calculate using a standard normal deviate, but obviously when the counts of deaths are small (which is why we are using Poisson regression), these intervals are very approximate

Hi friends, I have a doubt reg the application of odds ratio. When evaluating a diagnostic test, what odds ratio I should apply? When I use.. *>oddsratio (X)** * the OR I get is not ad/bc. Thank you. Regards, Dr Manoj Aravind, PG Resident, Dept of Community Medicine, Osmania Medical College, Hyderabad, India. [[alternative HTML version deleted]]

Dear R folks, We completed a matched case-control study that was analyzed using conditional logistic regression. Because of the small sample size we need to calculate exact confidence intervals. The quick solution is to purchase LogExact by Cytel. However, we'd like to do this in R. Anyone have experience with this? Many thanks, Tomas ____________________________________ Tomas Aragon, MD,

Hi R users I have serveral binary variables (e.g., X1, X2, X3, X4, X5, X,6, and X7) and one continuous variable (e.g., Y1). I combined these variables using data.frame() mydata <- data.frame(X1,X2,X3,X4,X5,X6,X7,Y1) after that, I sorted this data.frame rank.by.Y1<-order(mydata[,8]) sorted.mydata<-mydata[rank.by.Y1,] after that, I replaced Y1's values with values ranging from 1

Hello I need help on a fedora release 11 (Leonidas) when I start the dovecot process I get an error : Jun 17 10:15:24 aragon dovecot: Dovecot v1.2.rc3 starting up (core dumps disabled) Jun 17 10:15:24 aragon dovecot: Fatal: auth(default): Support not compiled in for passdb driver 'ldap' Jun 17 10:15:24 aragon dovecot: Fatal: Auth process died too early - shutting down I installed

The concrete problem is that I am refereeing a paper where a confidence interval is presented for the risk ratio and I do not find it credible. I show below my attempts to do this in R. The example is slightly changed from the authors'. I can obtain a confidence interval for the odds ratio from fisher.test of course === fisher.test example === > outcome <- matrix(c(500, 0, 500, 8),

Dear listers, I am trying to compute the exact conditional test given strata margins of a 2 by 2 by K array using the mantelhaen.test function to get a common odds ratio estimate. The estimate for the test on the following data is 0, which in my opinion dosen't make any sense. x <- array(c(53, 6098, 1006, 4521, 63, 8070, 1163, 6137), dim=c(2,2,2)) x , , 1 [,1] [,2] [1,] 53 1006

Hi Cristian, I don't know about a R routine for exact CIs, but I found a function called "ageadjust" using a gamma distribution approximation some time ago -take a look at http://medepi.org/epitools/rfunctions/index.html. That Webpage seems a bit outdated now, but the calculations given in the ageadjust functions should still work, I think. Maybe this helps; regards Heinrich.

Dear All, I'd like to perform the generalized Cochran-Mantel-Haenszel-Test (as described in Agresti (1990), Categorical Data Analysis) for my nominal data. My problem is that I have more than two groups. In fact I think I'd need an 5-dimensional array for the response variable, the control variable and three group variables. Could you please tell me if this is possible in R - and if

Hi all, I've hacked in some better logging for what's going on with my logins and utmp/wtmp. Everything seems OK except for u.ut_host. In my case, the actual variable host for this test case is aragon.cheshirelaw.com. This is fine (as my logs show): Mar 5 21:22:47 frodo sshd[10274]: Actual: 983852567 /dev/ttyp0 aragon.cheshirelaw.com However, check out what u.ut_host is logged as:

It's not very high priority I'm afraid. Did you try using sqlite instead? Aki > On 13/12/2019 17:40 Aragon Gouveia <aragon at phat.za.net> wrote: > > > Hi Aki, > > I'm not sure if this bug was worked on?? Sadly I ran into it too > recently, on version 2.3.4.1. > > > Regards, > > Aragon > > > > On 2018/02/07 13:23, Aki

Full_Name: Chien-yu Peng Version: 2.0.1 OS: Windows XP Professional Submission from: (NULL) (140.109.72.181) Dear all: Although I don't know you, I am thankful for your help. When I use the function mantelhaen.test for R x C x K (R, C > 2) table, the output is not the same as SAS's. I don't know that the result consist with one of SAS's. But it works correctly for 2

Hi all: For stratified count data,how to perform regression analysis? My data: age case oc count 1 1 1 21 1 1 2 26 1 2 1 17 1 2 2 59 2 1 1 18 2 1 2 88 2 2 1 7 2 2 2 95 age: 1:<40y 2:>40y case: 1:patient 2:health oc: 1:use drug 2:not use drug My purpose: Anaysis whether case and

Hi, does anyone know of a function to calculate odds ratios in multiway tables (stratified) (+ the other usual statistics involved) i mean: say we have a table r*c*d, For every d (depth) we have a r*c table, and in this table the odds ratio's are calculated for every 2*2 subtable in it. logically this function would look like): ORs(multiwaytable) or ORs(data$var1r,data$var2c,data$var3d)

Overview ======== This module implements the Center for Internet Security (CIS) Security Configuration Benchmark for Red Hat Enterprise Linux 6 v.1.1.0 (avilable at http://benchmarks.cisecurity.org). Each scored control has been implemented as a class or a custom fact. Installation ============ Please either: - Clone git repo from https://github.com/arildjensen/cis-puppet - Run "puppet

Here is a working snippet. library(epitools) mat <- matrix(c(10,15,60,25,98, 12,10,70,28,14, 9,11,68,10,12 ,8,13,20,11,58) ,ncol=2) colnames(mat) <- c("treatmentA","treatmentB") row.names(mat) <- paste("Cond",rep(1:10,1)) dimnames(mat) <- list("Condition" = row.names(mat), "instrument" = colnames(mat)) > mat instrument