n Peterson [mailto:john.peterson@gmail.com]
> > Sent: Tuesday, December 08, 2015 14:25
> > To: Viechtbauer Wolfgang (STAT)
> > Cc: R-help@r-project.org
> > Subject: Re: [R] metafor package
> >
> > Hi Dr. Viechtbauer,
> >
> > The code provided
Viechtbauer Wolfgang (STAT)
> Subject: Re: [R] metafor package
>
> Hi Dr. Viechtbauer,
> Thank you very much for your reply. I tried your advice and was able to
> make a forest plot with only the estimates for each subgroup.For the
> estiamte for each subgroup, similar to the previous m
hology | Maastricht University | P.O. Box 616 (VIJV1) | 6200 MD
> Maastricht, The Netherlands | +31 (43) 388-4170 | http://www.wvbauer.com
>
> > -Original Message-
> > From: John Peterson [mailto:john.peterson@gmail.com]
> > Sent: Monday, December 07, 2015 22:14
>
terson [mailto:john.peterson@gmail.com]
> Sent: Tuesday, December 08, 2015 14:25
> To: Viechtbauer Wolfgang (STAT)
> Cc: R-help@r-project.org
> Subject: Re: [R] metafor package
>
> Hi Dr. Viechtbauer,
>
> The code provided in the metafor projects website for subgroup includes
&g
rom: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of John
> Peterson
> Sent: Monday, December 07, 2015 01:39
> To: r-help@r-project.org
> Subject: [R] metafor package
>
> Hi Everyone,
>
> I am conducting a meta-analysis using the metafor package. I am
> inte
Hi Everyone,
I am conducting a meta-analysis using the metafor package. I am interested
in obtaining an estimate by subgroup only without showing an overall
effect. This is directly from the metafor website. How would i modify this
code to only show subgroup effects? Further, I want to show
From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] On
Behalf Of Dietlinde Schmidt [schmidt.dietli...@web.de]
Sent: Thursday, July 03, 2014 3:07 PM
To: r-help@r-project.org
Subject: [R] metafor package: changing decimal in forest plot
] On Behalf Of
Dietlinde Schmidt [schmidt.dietli...@web.de]
Sent: Thursday, July 03, 2014 3:07 PM
To: r-help@r-project.org
Subject: [R] metafor package: changing decimal in forest plot to midline
decimal
Dear R-Community,
I need to change the punctuation of the reported weights, effect sizes
-project.org
Subject: Re: [R] metafor package: changing decimal in forest plot to
midline decimal
Thanks for that link, Wolfgang. Unfortunately, there comes the Warning
with it:
(process:3634): Pango-WARNING **: Invalid UTF-8 string passed to
pango_layout_set_text()
and decimal being
-project.org
[r-help-boun...@r-project.org] On Behalf Of
Dietlinde Schmidt [schmidt.dietli...@web.de]
Sent: Thursday, July 03, 2014 3:07 PM
To: r-help@r-project.org
Subject: [R] metafor package: changing decimal
in forest plot to midlinedecimal
Dear R-Community,
I need to change the punctuation
] On
Behalf Of Dietlinde Schmidt [schmidt.dietli...@web.de]
Sent: Thursday, July 03, 2014 3:07 PM
To: r-help@r-project.org
Subject: [R] metafor package: changing decimal in forest plot to
midlinedecimal
Dear R-Community,
I need to change the punctuation of the reported weights, effect sizes
[schmidt.dietli...@web.de]
Sent: Thursday, July 03, 2014 3:07 PM
To: r-help@r-project.org
Subject: [R] metafor package: changing decimal in forest plot to midline
decimal
Dear R-Community,
I need to change the punctuation of the reported weights, effect sizes
and confidence intervals
Dear R-Community,
I need to change the punctuation of the reported weights, effect sizes
and confidence intervals in a forest plot created with the
forest()-function in the metafor-package.
Midline decimal means that it looks like this (23·6) rather than that
(23.6).
Do I need to change
Date: Wednesday, February 12, 2014 at 6:39 AM
To: r-help@R-project.org r-help@r-project.org, Nathan Leon Pace, MD,
MStat n.l.p...@utah.edu, Michael Dewey i...@aghmed.fsnet.co.uk, S
Ellison s.elli...@lgcgroup.com
Subject: RE: [R] metafor package
Good advice already from Michael and S Ellison.
I must
At 22:11 11/02/2014, Nathan Pace wrote:
Hi,
I have a random effects meta analysis of a proportion (logit
transformation) using rma.glmm.
I have created a forest plot of the proportion (inverse logic
transformation) using forest.rma.
I have added the credibility interval.
The forest plot
] metafor package
Hi,
I have a random effects meta analysis of a proportion (logit transformation)
using rma.glmm.
I have created a forest plot of the proportion (inverse logic transformation)
using forest.rma.
I have added the credibility interval.
The forest plot is saved as a pdf
) 388-4170 | http://www.wvbauer.com
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
On Behalf Of Michael Dewey
Sent: Wednesday, February 12, 2014 12:50
To: Nathan Pace; r-help@R-project.org
Subject: Re: [R] metafor package
At 22:11 11/02
-Original Message-
I must apologize for the 'hack-job of a function' called forest() in metafor.
Well, certainly no apology needed there!
I realized a while ago that people would prefer more fine-grained control over
the various elements of the plot (this has come up a few times
-project.org
Subject: [R] metafor package
Message-ID: cf1fef68.2490a%n.l.p...@utah.edu
Content-Type: text/plain
Hi,
I have a random effects meta analysis of a proportion (logit
transformation) using rma.glmm.
I have created a forest plot of the proportion (inverse logic
transformation) using
Hi,
I have a random effects meta analysis of a proportion (logit transformation)
using rma.glmm.
I have created a forest plot of the proportion (inverse logic transformation)
using forest.rma.
I have added the credibility interval.
The forest plot is saved as a pdf.
The dotted line and
]
On Behalf Of Jarrett Byrnes
Sent: Friday, September 07, 2012 16:02
To: R help
Subject: [R] metafor package: study level variation
Hello. A quick question about incorporating variation due to
study in the
metafor package. I'm working with a particular data set for
meta-analysis
: Friday, September 07, 2012 16:02
To: R help
Subject: [R] metafor package: study level variation
Hello. A quick question about incorporating variation due to study in the
metafor package. I'm working with a particular data set for meta-analysis
where some studies have multiple measurements
help
Subject: [R] metafor package: study level variation
Hello. A quick question about incorporating variation due to study in the
metafor package. I'm working with a particular data set for meta-analysis
where some studies have multiple measurements. Others do not. So, let's
say
At 15:02 07/09/2012, Jarrett Byrnes wrote:
Hello. A quick question about incorporating variation due to study
in the metafor package. I'm working with a particular data set for
meta-analysis where some studies have multiple measurements. Others
do not. So, let's say the effect I'm looking
Hello. A quick question about incorporating variation due to study in the
metafor package. I'm working with a particular data set for meta-analysis
where some studies have multiple measurements. Others do not. So, let's say
the effect I'm looking at is response to two different kinds of
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
On Behalf Of Jeremy Miles
Sent: Friday, August 03, 2012 04:01
To: Bexkens, Anika
Cc: r-help@r-project.org
Subject: Re: [R] Metafor package: Including multiple (categorical)
predictors
The test
Dear Metafor users,
I'd like to test a model with 2 continuous and 2 categorical moderators in a
meta regression. One categorical parameter has 2 levels and the other has 4
levels. If I understand correctly, when I include all moderators in the model,
Metafor returns main effects of the
The test of moderator coefficients (QM) is chi-square distributed.You
can use the change in this value when you add a predictor to the model
as a chi-square test, with df equal to the change in df.
Jeremy
On 2 August 2012 05:54, Bexkens, Anika a.bexk...@uva.nl wrote:
Dear Metafor users,
I'd
-project.org
From: i...@aghmed.fsnet.co.uk
Subject: RE: [R] metafor package, proportions: single groups wrt to a
categorical dependent variable
At 01:18 31/07/2012, Dushanthi Pinnaduwage wrote:
Thanks very much for the reply Michael.
I guess I have to combine some levels to make
Dear Dushanthi,
Please keep your e-mails on the R-Help list, where Michael has already given
you some excellent advice. As Michael already explained, metafor can handle
proportions, but does not have any specific functionality for categorical
variables with more than 2 levels (at the moment).
Thanks very much for your response. Sorry for writing to you directly.
Hereafter, I'll email to the R-Help list. I agree with all your comments and
suggestions. My analysis will be descriptive type; purely observational as the
studies are non-randomized studies. I have sample sizes and counts
Thanks very much for the reply Michael.I guess I have to combine some levels to
make categorical variable to a binary variable. Dushanthi Date: Sat, 28 Jul
2012 16:38:24 +0100
To: dushan...@bell.net; r-help@r-project.org
From: i...@aghmed.fsnet.co.uk
Subject: RE: [R] metafor package
or not) it is a bit hard to offer
more advice. I would regard collapsing categories as a last resort
myself as you lose information.
Dushanthi
Date: Sat, 28 Jul 2012 16:38:24 +0100
To: dushan...@bell.net; r-help@r-project.org
From: i...@aghmed.fsnet.co.uk
Subject: RE: [R] metafor package
At 01:44 28/07/2012, Dushanthi Pinnaduwage wrote:
Dear all, I am using R version 2.15.0 and 'metafor' package version
1.6-0. Can this version of the package handle proportions from
a categorical dependent variable for single studies?If so how do I
set up my dataframe for the raw data from
you expected.
Date: Sat, 28 Jul 2012 14:25:08 +0100
To: dushan...@bell.net; r-help@r-project.org
From: i...@aghmed.fsnet.co.uk
Subject: Re: [R] metafor package, proportions: single groups
wrt to a categorical dependent variable
At 01:44 28/07/2012, Dushanthi Pinnaduwage wrote:
Dear
us the
discrepancy between the output you obtained and that which you expected.
Date: Sat, 28 Jul 2012 14:25:08 +0100
To: dushan...@bell.net; r-help@r-project.org
From: i...@aghmed.fsnet.co.uk
Subject: Re: [R] metafor package, proportions: single groups wrt to a
categorical dependent
Dear all, I am using R version 2.15.0 and 'metafor' package version 1.6-0. Can
this version of the package handle proportions from a categorical dependent
variable for single studies?If so how do I set up my dataframe for the raw data
from different studies? Also how do I give inputs,
I have some question about metafor package.
I'm interest to perform a random effect meta-analysis of proportion
(single group summary of prevalence of disease in a population as
reported by different study)
It ask:
1. PFT: The Freeman-Tukey double arcsine transformed proportion is
, The Netherlands
Tel: +31 (43) 368-5248
Fax: +31 (43) 368-8689
Web: http://www.wvbauer.com
Original Message
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of petre...@unina.it Sent: Monday, December 20, 2010 13:26
To: r-help@r-project.org
Subject: [R] Metafor package
, The Netherlands Debyeplein 1 (Randwyck)
Original Message
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of Gang Chen Sent:
Friday, February 05, 2010 23:08 To: r-help@r-project.org
Subject: [R] metafor package: effect sizes are not fully independent
Thanks for the confirmation and pointer, Mike!
Dr. Viechtbauer, I'm looking forward to the new functionality of
specifying covariance structures in metafor().
Thanks both again for the great help,
Gang
On Sun, Feb 7, 2010 at 8:59 PM, Mike Cheung mikewlche...@gmail.com wrote:
Dear Gang,
It
Dear Gang,
Here are just some general thoughts. Wolfgang Viechtbauer will be a
better position to answer questions related to metafor.
For multivariate effect sizes, we first have to estimate the
asymptotic sampling covariance matrix among the effect sizes. Formulas
for some common effect sizes
Dear Gang,
It seems that it is possible to use a univariate meta-analysis to
handle your multivariate effect sizes. If you want to calculate a
weighted average first, Hedges and Olkin (1985) has discussed this
approach.
Hedges, L. V., Olkin, I. (1985). Statistical methods for
meta-analysis.
In a classical meta analysis model y_i = X_i * beta_i + e_i, data
{y_i} are assumed to be independent effect sizes. However, I'm
encountering the following two scenarios:
(1) Each source has multiple effect sizes, thus {y_i} are not fully
independent with each other.
(2) Each source has multiple
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