ArticleEpidemiology (Cambridge, Mass.)2020
Methods to Account for Uncertainty in Latent Class Assignments When Using Latent Classes as Predictors in Regression Models, with Application to Acculturation Strategy Measures.
Article in Epidemiology (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
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- A Review of R Packages for Bayesian Model-based Clustering of High-dimensional Multivariate Environmental Exposures.Current environmental health reports · 2026Review
- Alcohol consumption trajectories and risk of breast cancer among postmenopausal women: a Danish cohort study.European journal of epidemiology · 2024Article
- Network Types and Functional Health in Old Age: It is Not Just the Size of the Network That Matters.Journal of aging and health · 2024Article
- Article
- Trajectories of long-term exposure to PCB153 and Benzo[a]pyrene (BaP) air pollution and risk of breast cancer.Environmental health : a global access science source · 2024Article
- Falls and patterns of physical activity participation over 18 years in the Australian Longitudinal Study on Women's Health.British journal of sports medicine · 2024Article
- Personal Care Product Use during Puberty and Incident Breast Cancer among Black, Hispanic/Latina, and White Women in a Prospective US-Wide Cohort.Environmental health perspectives · 2024Article
- Characterizing Socioecological Markers of Differentiated HIV Risk Among Men Who Have Sex with Men in Indonesia.AIDS and behavior · 2024Article
- Diabetes in South Asians: Uncovering Novel Risk Factors With Longitudinal Epidemiologic Data: Kelly West Award Lecture 2023.Diabetes care · 2024Review
- Evaluating the association between latent classes and competing risks outcomes with multiphenotype data.Biometrics · 2023Article
- Hypertension and Diabetes Status by Patterns of Stress in Older Adults From the US Health and Retirement Study: A Latent Class Analysis.Journal of the American Heart Association · 2022Article
- Associations of Four sensitization patterns revealed by Latent Class Analysis with Clinical symptoms: A multi-center study of China.EClinicalMedicine · 2022Article
- Accelerometry-assessed physical activity and sedentary behavior patterns using single- and multi-component latent class analysis among postmenopausal women.Women's health (London, England)Article
- Do black/white differences in telomere length depend on socioeconomic status?Biodemography and social biologyArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Latent class models have become a popular means of summarizing survey questionnaires and other large sets of categorical variables. Often these classes are of primary interest to better understand complex patterns in data. Increasingly, these latent classes are reified into predictors of other outcomes of interests, treating the most likely class as the true class to which an individual belongs even though there is uncertainty in class membership. This uncertainty can be viewed as a form of measurement error in predictors, leading to bias in the estimates of the regression parameters associated with the latent classes. Despite this fact, there is very limited literature treating latent class predictors as measurement error models. Most applications ignore this issue and fit a two-stage model that treats the modal class prediction as truth. Here, we develop two approaches-one likelihood-based, the other Bayesian-to implement a joint model for latent class analysis and outcome prediction. We apply these methods to an analysis of how acculturation behaviors predict depression in South Asian immigrants to the United States. A simulation study gives guidance for when a two-stage model can be safely implemented and when the joint model may be required.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.