[R-sig-ME] Course: Introduction to Linear Mixed Effects Models and GLMM with R-INLA

[Mollie Brooks]

Yes, I haven’t seen any of the course material other than the flyer. I’m just surprised by how many people think they know what "nesting" means and are wrong (e.g. professors who have been using the methods for years and PhD students who just learned the methods). I’m tired of having to correct them because it makes my work harder and I’m not really paid to do that work, so it would be helpful to me if instructors who are paid to do it could be more pedantic. 

I realize that this is off topic for the list, so I’ll drop it.


> On 11Jun 2020, at 17:04, John Poe <jdpoe223 using gmail.com> wrote:
> 
> I think it's a little bit pedantic to criticize the flyer here since I
> assume that the distinction between nested and cross classified grouping
> structures is made pretty clear in the class itself.
> 
> I haven't seen the course material obviously so that's an assumption on my
> part given how I teach it. I do spend a lot of time on it whenever I teach
> mixed effects models because it is an important point of confusion for
> people. I tend to use either "clustered" or the term "grouping structure"
> as generic and differentiate between nested, crossed, and multiple
> membership personally. So i understand the point Mollie and Henrik are
> making but it might be unfair to expect that level of nuance in a flyer?
> 
> 
> 
> 
> 
> 
> 
> On Thu, Jun 11, 2020, 10:51 AM Henrik Singmann <singmann using gmail.com> wrote:
> 
>> But isn't that exactly Mollie's point? You write "Nested data means
>> multiple observations from the same [unit of observation]". And then she
>> gave an example where you can have multiple observations from the same unit
>> of observation without the data being nested.
>> 
>> I also completely agree with her criticism that this terminology is
>> critical to get right. When I teach mixed models one of the things that
>> always comes up is that people misunderstand the concept of nested factors:
>> A factor A is nested in another factor B if certain levels of A only appear
>> with certain levels of B and not with all levels of B (the latter would be
>> called crossed). In other words, whether or not we have repeated measures
>> or multiple observations is unrelated to whether or not there exists
>> nesting in the data.
>> 
>> Maybe it would make more sense to use "clustered" in that context instead
>> of "nested".
>> 
>> 
>> Am Do., 11. Juni 2020 um 16:20 Uhr schrieb Highland Statistics Ltd <
>> highstat using highstat.com>:
>> 
>>> 
>>> On 11/06/2020 14:58, Mollie Brooks wrote:
>>>> The flyer says "Nested data means multiple observations from the same
>>>> animal, site, area, nest, patient, hospital, vessel,
>>>> lake, hive, transect, etc.", but this doesn’t agree with my
>>>> understanding
>>>> (
>>> 
>> https://bbolker.github.io/mixedmodels-misc/glmmFAQ.html#nested-or-crossed).
>> What
>>> 
>>>> if animals move from one site to another, or patients visit multiple
>>>> hospitals.
>>> 
>>> Then it is not nested anymore.
>>> 
>>> 
>>>> I encounter a lot of scientists who have a misconception of the
>>>> meaning of nested data, so it would be good to be careful when
>>>> teaching the terminology. Does R-INLA require random effects to be
>>>> nested?
>>> 
>>> No. They can even be spatially correlated....or temporally correlated.
>>> 
>>> Alain
>>> 
>>>> 
>>>> Kind regards,
>>>> Mollie
>>>> 
>>>>> On 11Jun 2020, at 14:40, Highland Statistics Ltd
>>>>> <highstat using highstat.com <mailto:highstat using highstat.com>> wrote:
>>>>> 
>>>>> We would like to announce the following online statistics course:
>>>>> 
>>>>> Introduction to Linear Mixed Effects Models and GLMM with R-INLA
>>>>> 
>>>>> 
>>>>> This is an on-demand course with around 35-40 videos (each is 15-60
>>>>> minutes) with live (optional) Zoom summary sessions scheduled in 2
>>>>> different time zones:
>>>>> 
>>>>> * Time zone 1: 09.00-11.00 British Summer Time.
>>>>> * Time zone 2: 19.00-21.00 British Summer Time.
>>>>> 
>>>>> The course represents around 40 hours of work.
>>>>> 
>>>>> The course fee includes an (optional) 1-hour face-to-face video chat
>>>>> with one or both instructors (you can discuss your own data).
>>>>> 
>>>>> Starting date: 22 June
>>>>> 
>>>>> Flyer:
>>>>> 
>>> http://highstat.com/Courses/Flyers/2020/Flyer2020_06_GLMMINLA_Online.pdf
>>>>> 
>>>>> Website: http://highstat.com/index.php/courses-upcoming
>>>>> 
>>>>> 
>>>>> Kind regards,
>>>>> 
>>>>> 
>>>>> Alain Zuur
>>>>> 
>>>>> --
>>>>> 
>>>>> Dr. Alain F. Zuur
>>>>> Highland Statistics Ltd.
>>>>> 9 St Clair Wynd
>>>>> AB41 6DZ Newburgh, UK
>>>>> Email:highstat using highstat.com
>>>>> URL:www.highstat.com
>>>>> 
>>>>> 
>>>>> [[alternative HTML version deleted]]
>>>>> 
>>>>> _______________________________________________
>>>>> R-sig-mixed-models using r-project.org mailing list
>>>>> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>>>> 
>>> --
>>> 
>>> Dr. Alain F. Zuur
>>> Highland Statistics Ltd.
>>> 9 St Clair Wynd
>>> AB41 6DZ Newburgh, UK
>>> Email: highstat using highstat.com
>>> URL:   www.highstat.com
>>> 
>>> 
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>>> 
>>> _______________________________________________
>>> R-sig-mixed-models using r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>>> 
>> 
>> 
>> --
>> Dr. Henrik Singmann
>> Assistant Professor, Department of Psychology
>> University of Warwick, UK
>> http://singmann.org
>> 
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>> 
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