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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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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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12 views

Multi-group latent class analysis with missing variables in some samples

I am estimating a multi-group latent class model using cross-sectional data from multiple survey years. However, some of the survey questions were not asked in particular years of analysis. ...
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28 views

Mixture model on binary + continuous data

If I have a dataset of continuous variables (that I can assume are normally distributed), I can identify subgroups using a Gaussian mixture model and implement. Likewise if I have binary data I can ...
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44 views

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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72 views

How do we correctly select the final number of classes in latent class analysis?

Hope this is not too basic: What Statistical, Mathematical methods do we use to determine number of classes and class membership in Latent Class Analysis?
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40 views

Can Latent Class Analysis entropy be infinity? And what does it mean?

I recently ran a latent class analysis with polytomous outcome variables with the poLCA R package. The model ran fine converged from 2 to 6 classes (the model converged with more classes but fit ...
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49 views

Latent profile analysis - Gaussian models and which one to choose?

When performing LPA different models are possible depending on shape, volume and orientation (Figure 1. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5096736/). Can someone, please, explain in simple ...
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70 views

latent class model on choice data with gmnl - choosing starting values

I want to run a LCMNL (using the gmnl-package) on choice data. I read that starting values can influence class allocation since LCMNL can have several optima. I found the following example code that I ...
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1answer
27 views

When DV is dichotomous and IV is ordinal, should I use LPA or LCA?

Suppose my dependent/outcome variable is composed of 6 vignettes that has dichotomous outcomes of "Yes" (1) or "No" (0). Normally, I can just get a sum-score total so that it's a score from 0 (...
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12 views

LCL vs PML + cluster analysis

I'm running a discrete choice experiment, and am exploring two options for the analysis: Conduct a mixed logit, save the individual subject estimates, do a hierarchical cluster analysis of the ...
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2answers
396 views

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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231 views

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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1answer
135 views

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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44 views

Latent class analysis and membership function

I'm running a latent class (profile) analysis, and there is still a thing not clear to me. What happens when I don't include the constant in the membership function? Is the interpretation different? ...
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1answer
182 views

Latent Class Analysis - negative degrees of freedom

I want to see how many profiles (latent classes) can be differentiated based on respondents’ patterns of responses to four binary variables (accepting or rejecting four different immigration policies)....
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1answer
111 views

Is this formula related to the energy function / boltzmann distribution?

I am reading research done in this thesis. On page 20-21 (section 2.1) of the thesis, it describes the following stochastic model: ... let us focus for the rest of this chapter on time-varying ...
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94 views

Discrete latent variables in Bayesian Network

I am creating a Bayesian Network where all nodes are discrete. Using the available data, I have learned the structure of the network using the Hill-Climb algorithm (...
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1answer
422 views

Convergence of Latent Class Linear Mixed Model with LCMM in R

I am seeking help getting my latent class linear mixed models to converge using the LCMM package in R. I am studying common patterns of heroin and cocaine use over the life course of adults who have ...
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1answer
190 views

AIC and BIC in Latent class analysis

I am using the Latent Class Analysis feature available in Stata 15. The two statistical criterions gave me different indications: $AIC$ suggests me to use 6 classes, instead $BIC$ suggests to use 5 ...
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27 views

Indirect clustering / association finding

I'm looking for recommendations of techniques that allow me to cluster or find associated items, through an indirect layer. Imagine a hypothetical database of information about patients, including ...
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1answer
287 views

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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52 views

Adjusting for selection bias in a structural topic model

I want to build a structural topic model that adjusts for selection bias into the sample of entities about whom documents are written. I wanted to use the stm R ...
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34 views

Are there extensions of the latent-class growth model where also the outcome is unobserved?

In my understanding, in a repeated-measure setting, Latent-Class Growth Models (LCGM's) use latent factor to represent growth parameters. In my case, I have repeated measures where also the outcomes (...
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85 views

How to model LCGA with time-varying covariate

We have the following data set that contains: Variable $X$ - measures a proportion of young employees in an organization Variable $Y$- measures a proportion of young managers in the same ...
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322 views

McLust latent profile analysis results

I'm currently running a latent profile analysis with the McLust package in R. My aim is to see whether the program is able to distinguish different profiles based on various (n=11) neuropsychological ...
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1answer
696 views

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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232 views

Using latent variable as independent variable in regression

I ran latent class analysis using poLCA package and each observation in my dataset has been assigned a class based on the highest posterior probability (modal ...
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1answer
5k views

Inferring the number of topics for gensim's LDA - perplexity, CM, AIC, and BIC

I am confused as to how to interpret the LDA's perplexity fluctuations with different numbers of topics, in the endeavour of determining the best number of topics. Additionally, I would like to know ...
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486 views

Seeking examples of latent transition analysis with ordinal data and multiple subjects

Background A colleague of mine has asked me for help. She has a large amount of patient data involving clinical psychological measures (e.g., questions related to specific symptoms) gathered both ...
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98 views

Mixture model with covariance matrix with varying variances and equal covariances

In some illustrations of mixture models, the covariance matrix is structured to have varying variances and equal covariances between mixture components. For example, Pastor et al. (2007) (I'm sorry ...
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1answer
48 views

SEM-LPA model fit using BIC

I am studying a paper and while I have done a lot of additional reading, I would like some hints on on this issue as I am somewhat stuck. My question is whether a Structural Equation Model of the ...
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1answer
197 views

Power calculation for a Latent Class Analysis

Good Day, I am planning a study that will I analyze using Latent Class Analysis. I have three tests that will be used as inputs to the LCA and I wish to create a 2-class model. I have some pilot ...
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2answers
73 views

Generating a synthetic dataset from a latent class model

In latent class analysis, the estimated model paramters are class sizes and item-response probablities in each class. Based on these basic parameters, is it possible to generate a synthetic sample ...
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30 views

Identified latent class from experiment data

I have a large data set generated by a random experiment conducted by an online retail company. The treatment is changing the position of the text review. Specifically, in the control (default) group, ...
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1answer
55 views

Linear correlation with number of latent classes and BIC?

I have a dataset with almost 300 cases and 8 variable. Some are binary, some are ordinal variables with 4 to 5 categories. I am performing a hierarchial cluster analysis and latent class analysis in R....
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253 views

Are these negative binomial regression results reasonable?

I did a negative binomial regression on a data set with 4 covariables. The count outcome has values up to 600. I did a mixture model with 2 components, also called a latent class model. However, I am ...
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202 views

How is a latent class regression model estimated?

Can someone explain, intuitively, how a latent class regression (LCR) model is estimated (or direct to some digestible explanations)? I understand how regressions are estimated, no need to comment ...
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1answer
46 views

Compare model with latent classes to one without

There is a lot of literature written on the subject of choosing the correct number of classes for a latent class model (I mean "latent class model" in a very, very general sense, which encompasses a ...
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96 views

Does a latent class model become unstable with large samples and dimensions?

I have a dataset of approx 2million individuals with 40 dichotomous variables signifying presence or not of diseases (e.g heart disease, asthma, etc.) along with some sociodemographic info. I have ...
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198 views

Latent profile analysis

I am planning to identify profiles for individuals ($n = 200$) with experiences of domestic violence. The 19 likert items on abuse has a 6 response format ...
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369 views

Latent Class Analysis: What's the difference between polytomous vs. dichotomous manifest variables?

I am using poLCA in R to run a latent class analysis (LCA), and I'd like some help understanding the implications of using polytomous vs. dichotomous manifest ...
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153 views

Which cluster analysis for ordinal temporal data?

I would like to perform a cluster analysis but I’m not sure which is the best algorithm to apply to my data. My dataset is made of 200 cases (but the sample size can be enlarged). For each case, I ...
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92 views

Feature Selection in Mixture of Experts Model

I am just beginning to learn about Mixture of Experts Models, so I apologize if parts of my question are elementary. My understanding is that a MEM is a mixture model where the components are linear ...
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1answer
343 views

Best Clustering Technique for Probability Scores

I have a data which which have 17 variables i.e. 17-Dimension data. The Data is a result of Max-Diff exercise which is performed for ranking these 17 attributes and have comparative preference/...
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1answer
414 views

What is the best way to deal with missing data in latent class models?

What is the best way to deal with missing data in latent class models? For example, Latent GOLD can estimate models with missing data (LG technical manual page 51). Simply put, the likelihood ...
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82 views

How to specify a significance test for intercept and slope between multiple latent groups

I have done a Latent Profile Analysis on 34 symptom-distress-items at beginning of psychotherapy treatment. I came up with 5 latent groups. The entropy of the model was 0.779 The average Latent ...
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54 views

No convergence in Latent gold choice. Why?

I'm using Latent Gold Choice to estimante a LC model. The model performs well when up to three classes are considered. However, when I try with four classes I got a message of no convergence ("...
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54 views

What is a vector of effects?

The journal article in question is this article (General mixed-data model: extension of general location and grouped continuous models, de Leon and Carriere), on p. 535 (or, based on the PDF file, p. ...
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1answer
146 views

How does the EM algorithm operate when group label may be missing?

I have a set of data where the group label for a bunch of the data is missing. I know that there are 10 groups (integer 1 to 10): ...
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1answer
304 views

Latent class multinomial logit model doubt

This is a stupid 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 ...