#multilevel — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #multilevel, aggregated by home.social.
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#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?
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#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.
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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.
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#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
#Klang #KTMKomuter #ParkNRide #ParkAndRide #MultiLevelCarPark #KTM #KTMB #RAC #KeretapiTanahMelayu #KeretapiTanahMelayuBerhad
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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?
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We have surpassed 6 of the 9 planetary boundaries that sustain human life (2023)
https://www.stockholmresilience.org/research/planetary-boundaries.html
#ycombinator #research #Stockholm_Resilience_Centre #transdisciplinary #adaptive_governance #marine_systems #freshwater #multilevel #institutions #globalization #networks #Baltic #geospatial -
We have surpassed 6 of the 9 planetary boundaries that sustain human life (2023)
https://www.stockholmresilience.org/research/planetary-boundaries.html
#ycombinator #research #Stockholm_Resilience_Centre #transdisciplinary #adaptive_governance #marine_systems #freshwater #multilevel #institutions #globalization #networks #Baltic #geospatial -
We have surpassed 6 of the 9 planetary boundaries that sustain human life (2023)
https://www.stockholmresilience.org/research/planetary-boundaries.html
#ycombinator #research #Stockholm_Resilience_Centre #transdisciplinary #adaptive_governance #marine_systems #freshwater #multilevel #institutions #globalization #networks #Baltic #geospatial
