similar to: McNemar test in R & SPSS

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

Hello all, I wish to perform a mcnemar test for a 3 by 3 matrix. By running the slandered R command I am getting a result but I am not sure I am getting the correct one. Here is an example code: (tt <- as.table(t(matrix(c(1,4,1 , 0,5,5, 3,1,5), ncol = 3)))) mcnemar.test(tt, correct=T) #And I get: McNemar's Chi-squared

Hi friends, I get different values for McNemar's test in R and SPSS. Which one should i rely on when the p values differ. I came across this problem when i started learning R and seriously give up on SPSS or any other proprietary software. Thank u in advance Output in SPSS follows *Crosstab* hsc Total ABN NE ABN tvs ABN Count 40 3 43 Row % 93.0% 7.0%

Hello Everyone,   I've been asked to check if there is a significant difference in the following:                     Pre        Post Group A     15/19     14/19 Group B     14/19     10/19   My sense is that I need to perform McNemar's test on these data because responses are correlated within patient from the pre-test to the post-test.   The question is how to do this. I'm a SAS user

Hello sir: How can I perform McNemar (paired chi square test) by using R? Thanks! ------------------------------ ******************************************* Xin Meng Capitalbio Corporation National Engineering Research Center for Beijing Biochip Technology BioPharma-informatics & Software Dept. Research Engineer Tel: +86-10-80715888/80726868-6438 Fax: +86-10-80726790 Email??xmeng

Hello all I wish to perform a mcnemar.test() for a 5X5 matrix. Wikipedia tells me (http://en.wikipedia.org/wiki/Cochran_test) I should turn to cochran.test. The only place I found it was in the "outliers" package, but the command cochran.test() acts differently then mcnemar.test() , and doesn't take a table as input. Any ideas on how to use it ? #Example code: aa =

I am working with the mcnemar.test function and the help does not show a maintainer/author, but it is part of the stats package. My issue is that I want to use the test on 2 variables with possible values of 0:3, in one of the tests one of the variables does not have any 3's, so to make sure that the matrix is square I do: > x <- factor(x, levels=0:3) > y <- factor(y, levels=0:3)

I am appealing to the general collective wisdom of this list in respect of a statistics (rather than R) question. This question comes to me from a friend who is a veterinary oncologist. In a study that she is writing up there were 73 cats who were treated with a drug called piroxicam. None of the cats were observed to be subject to vomiting prior to treatment; 12 of the cats were subject to

Greetings, I have two files which contain responses to a series of multiple choice questions. One file contains responses before an "intervention" and the other contains the responses afterward. There were three possible responses to each question: D, F, T (for Don't Know, False, and True). I would like to try McNemar's test to determine if there was any significant

Hello dear R help group. My question is statistical and not R specific, yet I hope some of you might be willing to help. *Experiment settings*: We have a list of subjects. each of them went through two tests with the answer to each can be either 0 or 1. *Goal*: We want to know if the two experiments yielded different results in the subjects answers. *Statistical test (and why it won't

Hello Everyone, My name is Thomas and I have been using R for one week. I recently found your site and have been able to search the archives of posts. This has given me some great information that has allowed me to craft an initial design to an inquiry I would like to make into the breakdown of McNemar's test. I have read an intro to R manual and the posting guides and hope I am not violating

I was hoping for some advice regarding indexing, From a dataframe there are 27 variables of interest, with the prefix of "pre". [7] "Decision" "MHCDate" "pre01" "pre01111" "pre012" "pre013" [13] "pre02" "pre02111" "pre02114" "pre0211" "pre0212"

Hi, i need to test the equality of proportions in a paired case, like here: after before + - + 10 14 - 5 53 So usually i use the mcnemar.test(stats). Due to mortality, I now got the problem that my sample sizes in both factors are not equal any more -- there are less cases in the "after" condition. I already learned that Ekbohm (1982) and Marascuilo adressed the problem

Estimados Para analizar tres muestras cualitativas independientes se utiliza Cochran-Mantel-Haenszel test ?Cual script es el adecuado para analizar tres variables dependientes? en MCNEMAR solo se permite analizar dos variables cualitaticvas dependientes saludos José [[alternative HTML version deleted]]

On May 29, 2014 5:25 AM, "Wissam Shoukair" <wissams at mellanox.com> wrote: > > Hi Gene, > > I was wondering how I can set the ?printf? output to be visible on the screen? (I?m using syslinux-6.03-pre02) printf () or dprintf ()? You need to watch what functions are available at the time you want to print. For example, printf isn't available until ldlinux.c32 is

i have a data frame(dat) which has many variables.and i use the following script to get the crosstable. >danx2<-c("x1.1","x1.2","x1.3","x1.4","x1.5","x2","x4","x5","x6","x7","x8.1","x8.2","x8.3","x8.4","x11",

Hi all, I'm wondering if there's a way that I can perform McNemar's test for a small dataset easier. I know this may be different from the usual way, but I'm hoping to throw it out there for help. For now, my orginnal dataset looks something like this... Chemical shifts Pre_yes Pre_no Post_yes Post_no 1 20 23 30

Hi I was wondering whether anyone can help me with this problem....it's been driving me nuts, I've been trying to figure it out for months and months without success!! Basically I have a group of participants who attended 2 experimental sessions a few months apart. I took measures of the way they approach two tasks at Time 1 and the same two tasks at Time 2. I have categorical data (a

Hello R users, I would like to perform a mc nemar test. There is my data : __________________________________ x <- matrix(4:1,2,2) x [,1] [,2] [1,] 4 2 [2,] 3 1 __________________________________ My population is too small for normal approximation. __________________________________ library(concord) mcnemar.mh(x) $statistic [1] 0.2 $p [1] 0.6547208 Warning message: low

Dear list, I have data like this: dat1 <- data.frame(subject=rep(1:10,2), cond1=rep(c("A","B"),each=5), cond2=rep(c("C","D"),each=10), choice=sample(0:1,10,replace=TRUE)) I would like to compare subjects' "choice" for (cond1=="A" & cond2=="C") vs