Course: Introduction to Linear Mixed Effects Models and GLMM with R-INLA
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 at 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 (
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 at highstat.com <mailto:highstat at 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:
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 at highstat.com URL:www.highstat.com [[alternative HTML version deleted]]
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Highland Statistics Ltd.
9 St Clair Wynd
AB41 6DZ Newburgh, UK
Email: highstat at highstat.com
URL: www.highstat.com
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