Displaying 5 results from an estimated 5 matches for "debyeplein".

2010 Jul 02

1

metafor and meta-analysis at arm-level

Hi,
I have been looking for an R package which allowed to do meta-analysis
(both pairwise and network/mixed-treatment) at arm-level rather than at
trial-level, the latter being the common way in which meta-analysis is
done.
By arm-level meta-analysis I mean one that accounts for data provided at
the level of the individual arms of each trial and that does not simply
derive the difference

2010 Aug 03

1

Metafor

This is a question of clarification.
IN 2009 Higgins, Thompson and Spiegelhalter (J R Statist Soc A 172:137-159) gave WinBUGs code to get credible intervals from random effects meta analysis for the prediction interval of a new study.
It appears that the predict.rma function creates approximate credible intervals (pending a function revision by the author) for that purpose.
Is my assumption

2010 Jan 26

1

add points to 3D plot using p3d {onion}

Hi,
Can anyone guide me as to how I can add points to a p3d() plot from
the onion package?? I want to plot points with different colors on the
same 3D plot.? Perhaps I can do this without adding points but somehow
directing the 'h' parameter to give different color to points based on
a factor I assign to them?
FYI, I can do this using using scatterplot3d() and points3d(), but
these plots

2009 Dec 14

1

help: forest plots

Hi All,
I'm fitting a Poisson regression. And I want to plot 95% Confidence Interval
of Regression Estimates.
After coming back to original scale (using following formula):
exponential(estimate +/- 1.96*SE),
at best I can get the output in the form of estimates, lower_limit,
upper_limit values.
As far I know forest() in metafor package needs input in the form of
estimates and their

2009 Nov 08

3

MCMC gradually slows down

Hello,
I have written a simple Metropolis-Hastings MCMC algorithm for a
binomial parameter:
MHastings = function(n,p0,d){
theta = c()
theta[1] = p0
t =1
while(t<=n){
phi = log(theta[t]/(1-theta[t]))
phisim = phi + rnorm(1,0,d)
thetasim = exp(phisim)/(1+exp(phisim))
r = (thetasim)^4*(1-thetasim)^8/(theta[t]^4*(1-theta[t])^8)
if(runif(1,0,1)<r){
theta[t+1] =