Mastodawn

It's nice when your work is recognized with an #award, especially if it is your first proper methods paper!!

We proposed a #mixedmodel based approach to information #sampling and #utilization (e.g., #advicetaking, #judgment) that overcomes artifacts and paradoxes built into classical approaches. Moreover, it is unbelievably flexible, and it can be used any time multiple pieces of information are combined into a single judgment.

Most of the merit goes to Tobias R. Rebholz, who was the driving force behind this paper. He invited me to collaborate on this, so I owe him all the fun I had while working on the project.
The paper was published when I was already at the University of #Basel, but it all started when we were at the University of #Tuebingen working with Mandy Hütter.

Hope you like it! Check it out:
https://onlinelibrary.wiley.com/doi/10.1002/bdm.2369

Nikos Tsardakas Renhuldt Apr 13, 2024

I have #genomic variants called using #FreeBayes. I want to identify sex-linked regions of the genome. As a complement to visualization I’m considering doing some type of #statistical analysis, in part driven by wanting to learn more #stats. I’m less interested in allele differences (GWAS) and more in #heterozygosity, coverage depth, etc. Are there standard models to identify region differences? Could a #MixedModel be used for this?

jebyrnes Oct 27, 2023

Hey #mixedmodel #rstats peeps - anyone know of a package or function that does for #glmmTMB what merTools::predictInterval() does for #lme4? #wantingToMoveEverythingOver