[R-meta] fsn with robust

[Viechtbauer, Wolfgang (NP)]

Please always cc the mailing list when responding.

No, I do not record these live streams:

https://www.wvbauer.com/doku.php/live_streams#notes_faqs

The materials will however be available.

Best,
Wolfgang

> -----Original Message-----
> From: Arne Janssen <a.r.m.janssen using uva.nl>
> Sent: Tuesday, October 17, 2023 15:14
> To: Viechtbauer, Wolfgang (NP) <wolfgang.viechtbauer using maastrichtuniversity.nl>
> Subject: RE: fsn with robust
>
> Dear Wolfgang,
>
> as always you amaze me with the speed of your reply! Thanks for the information;
> unfortunately, I will have another meeting on Thursday. Will it be available
> online afterwards?
>
> Cheers,
> Arne
>
> -----Original Message-----
> From: Viechtbauer, Wolfgang (NP) <wolfgang.viechtbauer using maastrichtuniversity.nl>
> Sent: Tuesday, 17 October 2023 15:09
> To: R Special Interest Group for Meta-Analysis <r-sig-meta-analysis using r-
> project.org>
> Cc: Arne Janssen <a.r.m.janssen using uva.nl>
> Subject: RE: fsn with robust
>
> Dear Arne,
>
> At the moment, the answer would be no. Until a month ago, there wasn't even a
> version of the fail-safe N method for standard random-effects models (all
> previous methods that have been described in the literature so far were either
> based on methods for pooling p-values or the equal-effects model). In the most
> recent update of metafor, I have actually implemented a version of fsn() that is
> based on a random-effects model. That in itself wasn't entirely trivial, but
> taking this further to multilevel/multivariate models and/or models based on
> robust variance estimation would be a rather big leap.
>
> If you are interested, I'll talk about this update to fsn() (among other things)
> on Thursday during my upcoming live stream:
>
> https://stat.ethz.ch/pipermail/r-sig-meta-analysis/2023-September/004901.html
>
> There are ways one can imagine generalizing fsn() to more complex models, but
> there are some conceptual and practical issues one would have to address first.
> If viewers on Thursday are interested, I could discuss this a bit (these live
> streams are always a bit dynamic, so things can go in unpredictable directions).
>
> Best,
> Wolfgang
>
> > -----Original Message-----
> > From: R-sig-meta-analysis <r-sig-meta-analysis-bounces using r-project.org>
> > On Behalf Of Arne Janssen via R-sig-meta-analysis
> > Sent: Tuesday, October 17, 2023 14:27
> > To: r-sig-meta-analysis using r-project.org
> > Cc: Arne Janssen <a.r.m.janssen using uva.nl>
> > Subject: [R-meta] fsn with robust
> >
> > L.S.,
> >
> > I wonder if there is something like a fsn test for time series data
> > that are analysed with a multivatiate/multilevel mixed effects model
> > with continuous-time autoregression followed by a robust analysis.
> >
> > Best wishes,
> > Arne Janssen