#Deutsche #Technik: Neue #Akku-Schaltung maximiert #Lade- #Rate & #Lebensdauer!

Mehrere #deutsche #Firmen arbeiten an der #Multilevel- #Wechselrichter-Technik: Eine einfache Änderung der Verschaltung im #Akku soll die #Laderate, #Lebensdauer und #Sicherheit erhöhen. Was steckt dahinter?

https://m.youtube.com/watch?v=poUbuc0__5s

Deutsche Technik: Neue Akku-Schaltung maximiert Lade-Rate & Lebensdauer!

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We‘re hiring at @CIRCLE_TTU! Looking for a 1-year #postdoc to start in Jan 2025. Needs a PhD and expertise using #largescaledata for #multilevel and/or #longitudinal analyses of #K12 and #highereducation. Apply here: https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25898&siteid=5635&PageType=JobDetails&jobid=871166
TTU Post Doctoral Research Associate | Texas Tech University

Job Details: Performs specialized Post Doctoral work in the planning, conducting and/or supervision of original research. R

One Summer Afternoon by Eris And AI

One Summer Afternoon by Eris And AI

Eris And AI - Artist Website
I've updated the #multilevel models in https://agrogan1.github.io/multilevel-multilingual/. The results are much closer, but not yet equivalent, now that all software is estimating uncorrelated random effects, rather than some software estimating correlated random effects and other software estimating uncorrelated random effects. #rstats #Stata #julialang
Multilevel Multilingual

Multilevel Models in Stata, R and Julia

Multilevel Multilingual
How statistical challenges … produce unreplicable #science
https://osf.io/preprints/psyarxiv/ekmdf
"…when estimating a #causalEffect from data with a #multilevel structure, it is necessary to allow both the intercepts & effects to vary along each grouping structure. In practice, this is a challenge, 1st because we know of no #textbook that offers this recommendation; 2nd because including additional variance components to a model can make it less stable to fit… 3rd because modeling choices will still arise…"
OSF

#Stata question about #margins. Cross-posted at https://www.statalist.org/forums/forum/general-stata-discussion/general/1752205-margins-after-melogit-statistically-different-but-point-estimate-of-one-margin-inside-confidence-interval-of-another

As described at the above link, I am estimating `margins` (predicted probabilities) of a #multilevel #logistic regression. I am finding that in some cases the point estimate of one group is inside the confidence interval of the other group, but a test nonetheless indicates a statistically significant difference between the two groups. Any insights on this seeming paradox would be appreciated.

margins after melogit statistically different, but point estimate of one margin inside confidence interval of another - Statalist

Hello, I am working with a large data set on families (1/2 million families). I am using melogit to estimate the association of several covariates with my

Hello Everyone! I have been experimenting with using #Quarto to call #julialang to run #multilevel models with #MixedModels. Unfortunately, my document is taking about 10-15 minutes to render with small data sets. I've found it difficult to understand the #julialang documentation on this issue, so would appreciate any "Explain to me like I'm 5" explanations of how to speed up #julialang. Code is here: https://agrogan1.github.io/multilevel-multilingual/. I am grateful for #julialang, just wish I could figure out the speed.
Multilevel Multilingual

Multilevel Models in Stata, R and Julia

Multilevel Multilingual

#FreeParking for 30 minutes will be offered at the #multilevel #carpark next to Klang’s KTM Komuter #station on Jalan Raya Timur from April 1

Earlier, free #parking was only available for 15 minutes

This is an effort to encourage motorists to use the parking facilities to drop off or pick up #passengers using the #railway station

Read more: https://www.thestar.com.my/metro/metro-news/2024/03/20/longer-free-parking-time-near-klang-komuter-station-from-april-1

#Klang #KTMKomuter #ParkNRide #ParkAndRide #MultiLevelCarPark #KTM #KTMB #RAC #KeretapiTanahMelayu #KeretapiTanahMelayuBerhad

Longer free parking time near Klang Komuter station from April 1

FREE parking for 30 minutes will be offered at the multi-level carpark next to Klang’s KTM Komuter station on Jalan Raya Timur from April 1.

The Star
What model #statistics should one report after using multiple #imputation and #multilevel regressions, and how are they obtained? I'm using the #mice package in #rstats, and #lme4 on each imputed dataset. When pooling results, summary() yields what I need for each model term, but nothing for the whole model. If I didn't impute but deleted listwise, I would normally report AIC, BIC, Loglik. These are all in the mipo object, for each result for each imputed dataset, but they're not pooled. I'm sure I'm missing something here. Does anyone know an example article where such results are presented neatly?