Displaying 5 results from an estimated 5 matches for "n21".
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2009 Oct 16
1
How odds ratio is computed in fisher.test()?
I'm wondering how odds ratio is computed. I thought that it is
(n11/n12)/(n21/n22), but it is not what fisher.test() computes. Could
somebody let me know?
> n11=3
> n12=1
> n21=1
> n22=3
>
> n1_=n11+n12
> n2_=n21+n22
>
> n_1=n11+n21
> n_2=n12+n22
>
> x=rbind(c(n11,n12),c(n21,n22))
>
> threshold=dhyper(n11,n1_,n2_,n_1)
> probabili...
2007 Nov 30
0
Is there any multivariate regression function to combine all variables from a dataset?
...a function that combines all the values from the dataset in
order to produce the xi, xi*xj, xi*xj*xk values. The variables can take
values in different ranges so I need that the function controls the
scale. After that I would apply the regression to the obtained dataset.
Example
X1 X2
n11 n12
n21 n22
n31 n32
->
X1 X2 X1*X2
n11 n12 n11*n12
n21 n22 ...
n31 n32 ...
Is there any function like this in which, in addition of the above
mentioned, I can specify the degree of combination?
Thanks for your help,
Miguel
2012 Oct 15
1
library(rmeta)
Hello,
I have a data with following format:
Predictors n11 n12 n21 n22 Odds.Ratio log.ratio se.log.odds.
1 ProcOR respirato
2 ProcVaric vein
3 DiagCardiac anom
4 DiagAllergy
5 DiagOth skin dx
6 DiagGastritis
I want to plot odds ratio by command: forestplot in rmeta library, but I get the following error constantly.
...
2004 Apr 19
11
Size of R user base
I have been trying to determine the size of the R user base, and was
asked to share my findings with this mailing list. Although I still
don't have any definite estimate of this number, I do have some
interesting and indicative information:
1. It appears that there are about 100,000 S-PLUS users.
Rationale: According to Insightful's 2002 Annual Report, over 100,000
people use
2011 Apr 16
0
Question abt power calculation in multistrata data using Hmisc or other package
...ms that it is meant for two groups such as reference/control versus
cases.
This is the sample of data in each of the two groups:
Treatment_stat Death MonthsToEvent
1 0 60.0
2 1 55.3
0 1 36.7
0 1 39.9
number of cases in treatment strata :
group 1: n12=110; n11=25;n10=15 (N2=150)
group 2: n22=43;n21=8;n20=9 (N2=60)
Coxph
output indicates significant different survival in group 1 data but not
in group 2. How can one be sure that the lack of significance of
survival difference is true in group 2 and it is not because of fewer
number of cases in group 1 ?
Is there any function for this type of...