02429: Analysis of correlated data: Mixed linear models
02429: Analysis of correlated data: Mixed linear models
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From Per B. Brockhoff
135 plays 0Practical Info -
From Per B. Brockhoff
178 plays 0Simple Example, paired t-test, Randomized blocksand the mixed model. -
From Per B. Brockhoff
59 plays 0Randomized block with missing data example. Recovery of inter block information. -
From Per B. Brockhoff
62 plays 0Factor Structure Diagrams -
From Per B. Brockhoff
72 plays 0R intro, fixed 2-way ANOVA, lm, anova and Anova, lsmeans. -
From Per B. Brockhoff
45 plays 0Fixed 2-way ANOVA: lsmeans. -
From Per B. Brockhoff
39 plays 0Mixed model in R: lmer, post hoc and lmerTest. -
From Per B. Brockhoff
52 plays 0The mixed model, mean and variance-structure -
From Per B. Brockhoff
37 plays 0Linear hypotheses and tests thereof in mixed linear models. -
From Per B. Brockhoff
38 plays 0Maximum Likelihood (ML) and Restricted Maximum Likelihood (REML) for mixed linear models. -
From Per B. Brockhoff
24 plays 0Wald based confidence intervals for fixed effects. -
From Per B. Brockhoff
27 plays 0What is a Type I and Type III ANOVA table? -
From Per B. Brockhoff
37 plays 0How to generally approach the data analysis based on a mixed model. -
From Per B. Brockhoff
33 plays 0REML based testing of random effects and profile likelihood based confidence intervals for random effect parameters. -
From Per B. Brockhoff
24 plays 0R sets the first level to zer0. What is an LSMEANS?