any R package for this fit?
Thank you very much in advance.
Mario Petretta
Mario Petretta, MD, FAHA
Professor of Internal Medicine
Department of Translational Medical Sciences
Naples University "F
Many tanks to Wolfgang Viechtbauer for his time and help.
The suggested code works very well
Mario Petretta.
__
Message: 11
Date: Sat, 12 Dec 2015 17:22:20 +0100
From: "Viechtbauer Wolfgang (STAT)"
frame.
However, I again ask:
Using:
forest(res, showweights=TRUE)
it is possible to directly order the columns, simply placing the weights after
effect size and CI?
Sincerely
Mario Petretta
-Messaggio originale-
Da: Michael Dewey [mailto:li...@dewey.myzen.co.uk]
Inviato: venerdì
le: data.bcg)?
Thanks for your attention
____
Mario Petretta
Professor of Internal Medicine
Department of Translational Medical Science
Naples University “Federico II” - Italy
_
<http://www.avast.com/>
Questa e-mail è priva di virus e malware perché è
Obviously metafor and not metaphor.
Sorry
Mario
[[alternative HTML version deleted]]
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PLEASE do read the posting guide http
>Q d.f. p.value
> 240.64 19 < 0.0001
>
> Details on meta-analytical method:
> - Inverse variance method
> - DerSimonian-Laird estimator for tau^2
>
>> cop1<-copas(meta1)
>
> Warning in sqrt(solve(junk2$hessian + 1e-08)[1, 1]) :
> NaN was produced
>
>> plot (
cop1<-copas(meta1)
Warning in sqrt(solve(junk2$hessian + 1e-08)[1, 1]) :
NaN was produced
plot (cop1)
ERROR:
object "is.relative.effect" not found
---
Mario Petretta
Associate Professor of Internal Medicine
Department of Trans
lings either way. I suppose I was
thinking of cases I have seen where either injudicious rounding or typos has
meant that it was better to start from scratch.
[Show Quoted Text - 122 lines][Nascondi Testo quotato]
Best,
Wolfgang
-Original Message-
From: Mario Petretta [mailto:
&
Petretta; r-help@r-project.org
Oggetto: RE: [R] Comparing summary hazard ratios in meta-analysis
Those hazard ratios and CIs seem a bit strange. On the log-scale, they should
be symmetric, but they are not. Could be due to heavy rounding though. At any
rate, it comes down to this:
hr<- c(3
: HR 1.25 (95% CI 1.03 - 2.6)
It is possible or I'm comparing apples with oranges?
Any suggestion is welcome.
---
Mario Petretta
Associate Professor of Internal Medicine
Department of Translational Medical Sciences Naples
University Federi
ed in this example.
Any suggestion is welcome.
---
Mario Petretta
Associate Professor of Internal Medicine
Department of Translational Medical Sciences
Naples University Federico II Italy
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R-help@r-p
subgroups in the forest plot using the package meta?
Any suggestion is welcome.
Mario Petretta
Department of Translational Medical Sciences
Naples University Federico II Italy
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Fine !
Many many thanks!
Mario
-Messaggio originale-
Da: Bernd Weiss [mailto:bernd.we...@uni-koeln.de]
Inviato: venerdì 18 aprile 2014 15.58
A: petre...@unina.it; R-help@r-project.org
Oggetto: Re: [R] interpreting weight in meta-analysis of proportion
On 18.04.2014 13:02, petre...@uni
of the absolute
weight, other than the relative weight, or at least the absolute value of
the sum of the weights.
Sincerely
Mario Petretta
>Department of Translational Medical Sciences
>Naples University Federico II
>Italy
>
Message: 2
Date: Thu, 17 Apr 2014 12:43:06 +0100
From: Michae
eree ask a brief explanation of the W-statistic reported in the
results, in particular, why the summ of the individual weights of all
the studies is 100%.
Any suggestion is welcome.
--
Mario Petretta
Department of Translational Medical Sciences
Naples University F
metaCMD, fontsize=12, squaresize=0.6, just.studlab="left",
leftcols="studlab", rightcols="effect")
but it do not works
Thanks for your attention
Mario Petretta
Department of Translational Medical Science
Naples University "
Many thanks to Wolfgang Wiechtbauer for the explanation.
Sincerely
Mario Petretta
Message: 31
Date: Thu, 21 Nov 2013 19:08:14 +0100
From: "Viechtbauer Wolfgang (STAT)"
To: "petre...@unina.it" , "r-help@r-project.org"
Subject: Re: [R
further explanation on this point?
Sorry for the trouble
Sincerely
Mario Petretta
Department of Translational Medical Sciences
Naples University Federico II
Italy
>
Message: 50
Date: Tue, 19 Nov 2013 11:48:33 +0100
From: "Viechtbauer Wolfgang (STAT)"
To: "petr
3 Zhu 2013 8 0 00.18 0.05 0 3.1975 0.7640
Sincerely
--
Mario Petretta
Department of Translational Medical Sciences
Naples University Federico II
Italy
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PLEASE
Many thanks to Michael Dewey for the kindly replay.
escalc (and metafor) works well !!
--
Mario Petretta
Department of Translational Medical Sciences
Naples University Federico II
Italy
Michael Dewey ha scritto:
At 18:51 11/09/2013, petre...@unina.it wrote:
r-help@r-project.org
Dear all
% person-year)
I would like suggestions on package(s) and code.
Many thanks in advance.
--
Mario Petretta
Department of Translational Medical Sciences
Naples University Federico II
Italy
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opinion, a standardization (or a consensus statement or a position
paper)for this technique seems highly desirable as the NRI is currently
used in an increasing number of medical research paper dealing with
time-to-event data and censored observation.
Sincerely
Mario Petretta
Dpt Internal Medicine
>>> ???. Doesn't its name , 'rcorrp.cens' suggest otherwise? Not to mention
>>> its description int the Hmisc Index: "Rank Correlation for Paired
>>> Predictors with a Possibly Censored Response, and Integrated
>>> Discrimination Index&q
ing different. The argument list you list looks like the one
for improveProb(), which does not appear to handle censoring. The
rcorrp.cens argument list is:
rcorrp.cens(x1, x2, S, outx=FALSE, method=1)
And the "S" object is a Surv-object.
Many thanks.
Sincerely,
Mario Petretta
the function of
Package Hmisc[#rcorrp.cens(x1, x2, y) ##] is only for no censored
observations.
Many thanks.
Sincerely,
Mario Petretta
Dpt. Internal Medicine, Cardiology and Heart Surgery
Naples University Federico II - Italy
__
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an exponential distribution?
Any help would be greatly appreciated.
Thanks for your consideration.
Mario Petretta
Dipartimento di Medicina Clinica Scienze Cardiovascolari e Immunologiche
Facoltà di Medicina e Chirurgia
Università di Napoli Federico II
081 - 7462233
"dotTclObjv", objv, PACKAGE = "tcltk"),
class = "tclObj") :
[tcl] list element in braces followed by "{"MS" instead of space.
With version 1.7-2 the process go well and I have no problem !
Can I have help?
Many thanks in advance.
Mario
warning message is:
Error in structure(.External("dotTclObjv", objv, PACKAGE = "tcltk"),
class = "tclObj") :
[tcl] list element in braces followed by "{"MS" instead of space.
With version 1.7-2 the process go well and I have no problem !
Can I have he
alloc.b -0.3656 0.5529 -0.6613 0.5084 -1.4493 0.7180
Year 0.0673 0.0273 2.4677 0.0136 0.0139 0.1208 *
Many thanks
_
Mario Petretta
Dipartimento di Medicina Clinica Scienze Cardiovascolari e Immunologiche
Fa
. it is possible to return a forest plot with the backtransformed
value of proportion, confidenc interval and weight and not with the
transformed value after performing rma.uni?
Many thanks
Mario Petretta
Dipartimento di Medicina Clinica Scienze Cardiovascolari e Immunologiche
Facoltà di Medici
NOT only the 5 values listed above in the example in order to to
get optimal cut-off values
Thank you very much!
Mario Petretta
Dipartimento di Medicina Clinica Scienze Cardiovascolari e Immunologiche
Facoltà di Medicina e Chirurgia
Università di Napoli Federico II
081 - 7462233
Mario Pe
8 ...
$ FP : num [1:313] 1 0.997 0.993 0.99 0.987 ...
$ predict.time: num 365
$ Survival: num 0.93
$ AUC : num 0.888
so i dont know
how to use the survivalROC to get optimal cut-off values?(only 5
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