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Questions tagged [multiple-membership]

Multiple membership describes a kind of multilevel model where a unit of a lower level may belong to more than one unit of a higher level. For example, secondary school students may be nested in multiple classrooms through the school day.

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Nested mixed effects model- am I missing an additional random effect?

Let's suppose that data is collected for clinics across the state. The clinics are located in different counties, but also some of the clinics are owned by large healthcare systems that are located in ...
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fitting multilevel models for data that is both multiple membership and repeated measures

I have a longitudinal dataset with 5 repeated measures, where individuals are nested within counties and may have moved to a new county during the study period, e.g., ...
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How to fit a multiple membership model when the factor is nested?

The accepted answer to this question explains how to fit a mixed effects model where there is multiple membership. I would like to know how to proceed when the multiple membership factor itself is ...
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Multiple Membership vs Crossed Random Effects

I see that there is a multiple-membership tag, but I can't find a good explanation of what a multiple membership model is, or how to go about fitting one. In my limited understanding, it seem very ...
Joe King's user avatar
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longitudinal cross membership multilevel model

I am compiling a data of club formation in which a person (id, the basic unit of observation) can belong to more than 1 club, while a majority of the sampled population do not belong to any clubs. ...
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How does non-uniqueness of data (aka duplicate data points) affect clustering?

I am trying to self-learn more about different clustering methods. I think I understand the main idea of the algorithms, but perhaps their use-cases can shed light on something that puzzles me - ...
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How to select a single updated centroid if multiple centroids are equidistant for a single group when running k-means/k-medoids?

I am trying to write my own k-means and k-medoids clustering algorithms. I understand the general idea: given k centroids, one continually updates the centroids ...
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Dealing with multiple cases per subject

I want to analyze a table with surgery operations data. For some patients, about 10%, multiple operations have been made, so there may be multiple rows for a patient in the table. My goal is to ...
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Comparing consistency of membership across multiple categorical variables

I'm interested in testing for membership similarity between multiple categorical variables. For instance, let's say that two categorical variables have the following membership: ...
mforde84's user avatar
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CDT for Multiple Correspondence Analysis (MCA): what if there are multiple modalities selected for one variable?

I have the following set of qualitative data: ...
ebosi's user avatar
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Multiple membership model random effects specification

We are looking at tournament performance of chess players over time and have a question about the random effects modeling for this. Specifically, every chess player belongs to at least one club, but ...
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soft training and classification (class membership)

there are several soft classifiers in r, such as linear discriminant analysis. Functions such as lda {MASS} show the likelihood of each case being classified to belong to each of the classes defined ...
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How to run a multiple membership hierarchical model in Stata?

I have a dataset of educators and the courses that they designed. My original thought was to do a multilevel model where courses are nested within educators, and the outcome is whether the course ever ...
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