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Mixed Model Academy Profile
Mixed Model Academy

@MixedModelACAD

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261

Mixed Model Academy (MMA) provides a free user-friendly community and code generator for ANOVA and mixed models. Sign up for FREE! #statistics #bigdata

Joined July 2019
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@MixedModelACAD
Mixed Model Academy
6 years
Mixed Model Academy (MMA) provides a free user-friendly community and code generator for ANOVA and mixed models. Sign up for FREE! #Statistics #Data
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@Genstat
Genstat
5 years
To celebrate the release of Genstat 21st Edition we are offering a 21% discount off any of our Genstat e-learning courses in Feb, such as Intermediate Statistical Data Analysis with Genstat Quote code 👉GENSTAT21👈 at checkout to receive your discount! https://t.co/1W5HCgi7V8
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@ASreml
ASReml
5 years
For those who have been asking here is the link to Calculating Random Effect Estimates with ASReml-R article, interestingly one of our most popular posts from 2020! . Learn more: https://t.co/NPxjfnvN8a . #ASReml-R #randomeffects #mixedmodels #accuracy #reliability
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@ASreml
ASReml
5 years
Random coefficient regression in #ASReml-R and when to use it. Learn more: https://t.co/veWxGeF61o #RandomRegression #statistical #software #RandomEffects
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@MixedModelACAD
Mixed Model Academy
5 years
You can learn more about mixed model analysis for multi-centre trials on MMA blog here:
@ASreml
ASReml
5 years
Mixed models are fitted using a method known as residual maximum likelihood (REML). The ASReml-R4 package is specially designed for fitting mixed models using REML. . Watch how to create and fit a mixed effects model in ASReml-R4:
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@MixedModelACAD
Mixed Model Academy
5 years
็Happy birthday to Mixed Model Academy #ANOVA #MixedModel
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@ASreml
ASReml
5 years
Random coefficient regression can be used when we want to explore the relationship between a response variable (y) and a continuous explanatory variable (x) and we have repeated measurements of x and y on individual subjects. . Watch and get data set here:
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@MixedModelACAD
Mixed Model Academy
5 years
Paired data is a special case of a randomized block design in which there are only two treatment conditions and subjects can be grouped into homogenous pairs prior to treatment. Learn more on Analysis of Paired Data blog: https://t.co/5IKt5RFe2l #RBD #DataAnalytics
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@Rbloggers
R-bloggers
5 years
Clustering Music Genres with R { https://t.co/j98Lbjv4VX} #rstats #DataScience
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@ASreml
ASReml
5 years
How #ASReml can increase profit in modern dairy cow production? That’s interesting article for #animal breeders. Learn more:
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@ASreml
ASReml
5 years
ASReml R E-learning COMING SOON! #ASReml #ASRemlR #eLearning #Statistics
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@ASreml
ASReml
5 years
Single record animal model in ASReml-Standalone version Learn more: https://t.co/12oKmQPPII #ASReml #animal
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@DavidDuvenaud
David Duvenaud
5 years
We just open-sourced differentiable SDE solvers in PyTorch: https://t.co/v1f08mjgCq Now you can put stochastic differential equations in your deep learning models, and neural nets in your SDEs! Credit to @lxuechen.
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@MixedModelACAD
Mixed Model Academy
5 years
Mixed models for clustered longitudinal data Please check the MMA project “Dental Veneer” for more information on this data set and its analysis: https://t.co/ICtNgkewe8 #LongitudinalData #Dental #Analysis #MixedModel
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@MixedModelACAD
Mixed Model Academy
5 years
Mixed models for repeated measures In a longitudinal data design, subjects are usually measured more than once over time. When the measurements are made at a fixed time point, time may be considered as a fixed-effects factor. Learn more: https://t.co/YFtlW5fii5 #DataAnalysis
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@Rbloggers
R-bloggers
5 years
Spatial regression in R part 2: INLA { https://t.co/QoFI8f9lKb} #rstats #DataScience
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@MixedModelACAD
Mixed Model Academy
5 years
Random Coefficients Models for Longitudinal Data Please check the MMA project “Autism” for more information on this data set and its analysis: https://t.co/3Jt0A0mlwo #MixedModel #LongitudinalData #RandomCoefficientsModels
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@ASreml
ASReml
5 years
A “predict.asreml () ” function in ASReml-R Learn more: https://t.co/yM2QmJ9Eyd #ASReml #Function
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@uberhyped
Meryl Theng
5 years
R package DHARMa allows checking residuals from mixed, hierarchical models. You can even test for zero-inflation, spatial/temporal autocorrelation, and more! #isec2020
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@MixedModelACAD
Mixed Model Academy
5 years
Random Coefficients Models for Longitudinal Data Please check the MMA project “Sleep Study” for more information on this data set and its analysis: https://t.co/7zk8AHdN1I #MixedModel #ASReml #SAS #nlme #SleepStudy #LongitudinalData
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