All Questions
8 questions
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interpreting assumption tests for multilevel modelling
I have run a multilevel logistic regression model using the glme package in R. I now need to test the assumptions but I am not sure how to interpret the graphs I get, nor whether I'm doing the correct ...
1
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0
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28
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Help with MLM specification (data clustered by group and year) lme4 R
I have a dataset structured like so:
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1
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1
answer
626
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Multilevel logistic panel regression with glmer in R
My dataset (long format) contains of data collected in 4 studies. Although the variables in the studies were identical, I want to account for the heterogeneity of the population between these studies ...
4
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1
answer
1k
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Difference between multilevel logistic regression and a logistic regression with lower levels aggregated
I have a question about the differences between two forms of logistic regression.
Let's say that I have data that is collected with some nesting. For concreteness, we'll say that I've got data across ...
0
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0
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35
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R/Lme4: Trouble specifying random effects properly in a repeated measures logistic HLM
I am having trouble getting appropriate random effects output when using the glmer command in lme4.
My dataset is a long-form ...
1
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0
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69
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Cross-classified multi-level model - application to marketing
I am working on predicting whether an individual customer will respond favourably to a marketing campaign (yes/no).
I have data about customers, and their responses to previous campaigns. If possible, ...
3
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0
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93
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Estimation Procedure of Multilevel Logistic Regression
I know the estimation procedure for logistic regression is the iterative weighted least squares method.
In the book An Introduction to Generalized Linear Models written by Dobson & Barnett, in ...
1
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5k
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How to estimate ICC (degree of clustering) in hierarchical logistic regression?
I am exploring hierarchical logistic regression, using glmer from the lme4 package. To my understanding, one of the first steps in multilevel modeling is to estimate the degree of clustering of level-...