All Questions
Tagged with anova generalized-estimating-equations
9 questions
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How to retrieve main group effects from GEE in R (anova?)
I want to know if the outcome variable differs across three groups. As my data includes several family members, I use a Generalized estimating equations (GEE) model in R:
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4
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Is LMM a good alternative for Repeated Measures ANOVA with Missing Data?
Our study aims to assess whether there has been an increase in overall happiness among participants who used our interventions—such as dance classes, art classes, meditation, and other resources—...
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Statistical Comparison of Continuous Outcomes Across Groups with Identical Observations
Cross Validated community,
I am working with a dataset of restaurants that have been classified by both Michelin and Rafaelo rating systems. Specifically, Michelin has categorized restaurants into A, ...
- 155
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Is it OK to use GEE insetad of GLM for non-repeated data?
I analyse data, that are repeated (pre-post), but I work with change from baseline instead. This is a non-randomized experiment, so I was advised to run this kind of analysis bearing in mind the Lord'...
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Alternative to Mixed ANOVA without homogeneity of variances
As is tradition on these posts, I should say I'm relatively new to statistical analysis at this level so if I don't provide enough info off the bat bear with me.
So I've conducted an experiment ...
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1
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444
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What does the anova method in the geepack package for R do?
Running the anova() function on a linear regression object returns p-values for each parameter in my model. However, I do not understand what specific test it is running (I think it is a Wald Chi-...
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How does one obtain a type III ANOVA output for a GEE?
ANOVA types I, II and III are explained here. For GLMM and GEE differences see here. I am using the anova() function in geepack to determine the overall impact of several categorical variable in a ...
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How to compare GEE models with Linear models in R
I got a dataset, and I fit the data by linear model first and get a fitted model. and then I introduced a random effect, the subject or id in R arguments. and get a fitted gee model, so how to compare ...
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Repeated measures design with measurements from different groups of animals
In a repeated measured design we measure a particular variable at different time points from the same subjects. In animal experiments, if animals are sacrificed at every time point to measure a ...
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