Questions tagged [latent-class]
A latent class model has a number of categorical manifest variables and one or more categorical latent variables.
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Modelling longitudinal data where the effect of time varies in functional form between individuals
Context:
Imagine you had a longitudinal study which measured a dependent variable (DV) once a week for 20 weeks on 200 participants. Although I'm interested in general, typical DVs that I'm thinking ...
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Latent Class Analysis vs. Cluster Analysis - differences in inferences?
What are the differences in inferences that can be made from a latent class analysis (LCA) versus a cluster analysis? Is it correct that a LCA assumes an underlying latent variable that gives rise to ...
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In LDA, how to interpret the meaning of topics?
I am studying Latent Dirichlet Allocation (LDA) model, and I found some explanations around the web (for example here on Quora.com).
In the link examples, I can clearly see which are the topics author ...
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Why covariates are used in Latent class analysis (LCA)
I am trying to learn this relatively new statistical technique LCA. In literature i saw that for some LCA models, covariates are used.
I am having a difficulty to understand why additional covariates ...
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How can you implement latent class analysis with distal outcomes in R?
I am looking to fit a fairly straightforward latent class analysis (LCA) model to derive phenotypes / clusters of a disease (in R). My dataset contains the manifest variables used to derive the ...
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Favored methods for overcoming selection bias (special attention to healthcare fields)?
I am frequently measuring the effect of behavioral health treatment interventions on outcomes of interest. However, comparing the relative efficacy of different types of treatment is tricky - more ...
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Multinomial logistic regression analysis or binary logistic regression
I need to analyse data and am unsure whether or not I should use a multinomial logistic regression analysis or a binary logistic regression analysis. I have just conducted a latent class analysis and ...
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Latent class model with both continuous and categorical indicators in R [closed]
I have question regarding which R-package to use to create a latent class/mixture model
with both categorical and continuous indicator variables. I have not yet found a good example of this using R, ...
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Visualizing results from multiple latent class models
I am using latent class analysis to cluster a sample of observations based on a set of binary variables. I am using R and the package poLCA. In LCA, you must specify the number of clusters you want to ...
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Need help with Latent Transition Analysis
I am new to this site, so my apologies if I am not asking the question the right way for this site. I am actually trying to understand Latent Class Analysis & Latent Transition Analysis. I have ...
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Latent Class Models
What is difference(Or relation) between "Latent Class Analysis"and Structural Equation models" and "Latent Growth Curve Models"?
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Latent class multinomial logit model doubt
This is a basic question as I'm approaching to latent class model for the first time. Reading some applications, I can't understand one basic thing. In modelling latent class the respondent have one ...
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LCA number of parameters & degrees of freedom
I have a series of physicians' claims submissions. I would like to perform cluster analysis as an exploratory tool to find patterns in how physicians bill based on things like Revenue Codes, Procedure ...
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Interpretation of regression coefficients in latent class regression (using poLCA in R)
I am analysing data on symptoms, signs, and autopsy findings (a set of binary Y/N variables), viral serology, for several viruses, and a few other covariates (Age, gender, site) in pigs. After some ...
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Conducting a three-step Latent Class Analysis in R
I'm trying to conduct a Latent Class Analysis in R using the poLCA package, and I have now become stuck on two aspects of the process.
I have conducted Latent Class Analysis separately for males and ...
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Mixing variable types in latent class/profile analysis?
Is there a way to use both binary and continuous variables in latent class/profile analysis? (Class being binaries, and profile being continuous, not sure what to call this.)
My lone continuous ...
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Use LCA memberships as independent variables in a linear regression model
I performed LCA using the "depmixS4" library in R and got a three cluster solution for my data; as such for each record in my data, I have three LCA memberships (probabilities) for the three clusters ...
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Multicollinearity in binary logistic regression analysis after latent class analysis
I am attempting to conduct a binary logistic regression but I have come to a roadblock relating to multicollinearity. I originally conducted a latent class analysis which resulted in the ...