[R-meta] metafor::vcalc() for multiple sources of dependence

[Viechtbauer, Wolfgang (SP)]

Dear Simon,

Of course the help pages won't have examples for every possible use case that is out there. But the documentation is very thorough in explaining the purpose of the various arguments. Please give this a proper try and do not use the mailing list as a way to get other people to do the work for you.

Best,
Wolfgang

>-----Original Message-----
>From: Simon Harmel [mailto:sim.harmel using gmail.com]
>Sent: Friday, 04 March, 2022 18:13
>To: Viechtbauer, Wolfgang (SP)
>Cc: R meta
>Subject: Re: metafor::vcalc() for multiple sources of dependence
>
>Thanks, Wolfgang. If I only intend to assume that the r_i for the same
>repeatedly measured group on the same outcome, as well as on multiple
>outcomes is constant (r_i = .6) and at the same time factor in the
>shared control group, which arguments should be simultaneously used
>for the Brown study below?
>
>I did see the help page but wasn't able to find an example that was
>similar to my study below.
>
>Thank you,
>Simon
>
>m="
>study yi vi group time outcome
>Brown -0.10 0.05 1 0 1
>Brown 0.24 0.05 1 0 2
>Brown -0.11 0.05 1 0 3
>Brown -0.01 0.05 1 0 4
>Brown -0.12 0.05 2 0 1
>Brown 0.38 0.05 2 0 2
>Brown -0.19 0.05 2 0 3
>Brown 0.30 0.05 2 0 4
>Brown 0.45 0.05 1 1 1
>Brown 0.66 0.05 1 1 2
>Brown 0.27 0.05 1 1 3
>Brown 0.13 0.05 1 1 4
>Brown 0.08 0.05 1 2 1
>Brown 0.25 0.05 1 2 2
>Brown -0.34 0.05 1 2 3
>Brown -0.06 0.05 1 2 4
>Brown 0.48 0.05 2 1 1
>Brown 0.28 0.05 2 1 2
>Brown 0.10 0.05 2 1 3
>Brown 0.25 0.05 2 1 4
>Brown 0.11 0.05 2 2 1
>Brown 0.65 0.05 2 2 2
>Brown 0.39 0.05 2 2 3
>Brown 0.13 0.05 2 2 4"
>
>data <- read.table(text=m,h=T)
>
>On Fri, Mar 4, 2022 at 4:45 AM Viechtbauer, Wolfgang (SP)
><wolfgang.viechtbauer using maastrichtuniversity.nl> wrote:
>>
>> Hi Simon,
>>
>> Yes, that's what vcalc() is for.
>>
>> Best,
>> Wolfgang
>>
>> >-----Original Message-----
>> >From: Simon Harmel [mailto:sim.harmel using gmail.com]
>> >Sent: Thursday, 03 March, 2022 17:35
>> >To: Viechtbauer, Wolfgang (SP); R meta
>> >Subject: metafor::vcalc() for multiple sources of dependence
>> >
>> >Hello Wolfgang,
>> >
>> >Thank you for adding such an important function! In my studies, I have
>> >quite a few studies that are structured as shown below.
>> >
>> >Can I use vcalc() to construct a V matrix for the three sources of
>> >dependence (i.e., multiple groups, times, outcomes) in say the study
>> >below?
>> >
>> >Thank you for your guidance,
>> >Simon
>> >
>> >m="
>> >study yi vi group time outcome
>> >Brown -0.10 0.05 1 0 1
>> >Brown 0.24 0.05 1 0 2
>> >Brown -0.11 0.05 1 0 3
>> >Brown -0.01 0.05 1 0 4
>> >Brown -0.12 0.05 2 0 1
>> >Brown 0.38 0.05 2 0 2
>> >Brown -0.19 0.05 2 0 3
>> >Brown 0.30 0.05 2 0 4
>> >Brown 0.45 0.05 1 1 1
>> >Brown 0.66 0.05 1 1 2
>> >Brown 0.27 0.05 1 1 3
>> >Brown 0.13 0.05 1 1 4
>> >Brown 0.08 0.05 1 2 1
>> >Brown 0.25 0.05 1 2 2
>> >Brown -0.34 0.05 1 2 3
>> >Brown -0.06 0.05 1 2 4
>> >Brown 0.48 0.05 2 1 1
>> >Brown 0.28 0.05 2 1 2
>> >Brown 0.10 0.05 2 1 3
>> >Brown 0.25 0.05 2 1 4
>> >Brown 0.11 0.05 2 2 1
>> >Brown 0.65 0.05 2 2 2
>> >Brown 0.39 0.05 2 2 3
>> >Brown 0.13 0.05 2 2 4"
>> >
>> >read.table(text=m,h=T)