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Results tagged with mixed-model
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user 1307
Mixed (aka multilevel or hierarchical) models are linear models that include both fixed effects and random effects. They are used to model longitudinal or nested data.
18
votes
Accepted
Pitfalls of linear mixed models
This is a good question.
Here are some common pitfalls:
Using standard likelihood theory, we may derive a test to compare two nested
hypotheses, $H_0$ and $H_1$, by computing the likelihood ratio t …
- 6,712
9
votes
Can random effects apply only to categorical variables?
This is a good and a very basic question.
The interpretation of random effects is very domain-specific and is dependent on the modeling choice (the statistical model or being a Bayesian or frequentis …
- 6,712
24
votes
Accepted
How do I fit a multilevel model for over-dispersed poisson outcomes?
You can fit multilevel GLMM with a Poisson distribution (with over-dispersion) using R in multiple ways. Few R packages are: lme4, MCMCglmm, arm, etc. A good reference to see is Gelman and Hill (2007) …
- 6,712
3
votes
How can I treat blocks in a split plot design?
The way you are thinking is one of the ways most people interpret blocks. But the bigger picture which sometimes people don't notice is: Blocks are a way to model a correlation structure. They let us …
- 6,712
6
votes
Repeated measures ANOVA in R and Bonferroni adjusted intervals
You should provide more details about your data. From the limited details provided by you, assuming you have a data frame df which has response, trt, time, and subject information, then these are many …
- 6,712