ArticleStatistical methodology2016
Latent Class Analysis of Incomplete Data via an Entropy-Based Criterion.
Article in Statistical methodology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Bridging Population Patterns and Individual Prediction: Framework for Prospective Multimorbidity Study.JMIR medical informatics · 2026Article
- Dual Mediating and Moderating Roles of Hope in the Association Between Marital Satisfaction and Post-Traumatic Growth Among Chinese Breast Cancer Patients: A Latent Profile Analysis.Psychology research and behavior management · 2026Article
- Latent Classes of Adverse Childhood Experiences (ACEs) and Adult Substance-use Problems and Psychosocial Outcomes: Complex and Heterogeneous Associations.International journal of mental health and addiction · 2026Article
- Latent profiles of coping styles and their associations with non-suicidal self-injury in adolescents with social anxiety disorder.European child & adolescent psychiatry · 2025Article
- Classifying intentions for carbon neutrality participation through latent class analysis.Heliyon · 2024Article
- Proteus effect avatar profiles: Associations with disordered gaming and activity levels.Addictive behaviors reports · 2024Article
- Gaming Disorder: The role of a gamers flow profile.Addictive behaviors reports · 2024Article
- Latent transition analysis of instrumental activities of daily living in Chinese elderly: based on the 2014-2018 wave of the Chinese Longitudinal Healthy Longevity Survey.BMC geriatrics · 2024Article
- Social media use and abuse: Different profiles of users and their associations with addictive behaviours.Addictive behaviors reports · 2023Article
- Adolescent Popularity: Distinct Profiles and Associations with Excessive Internet Usage and Interpersonal Sensitivity.Child psychiatry and human development · 2022Article
- Typologies of Sexual Health Vulnerability Predicting STI Preventive Behaviors Among Latinx Adults in the U.S.: A Latent Class Analysis Approach.Journal of immigrant and minority health · 2022Article
- The Nexus between Study Burnout Profiles and Social Support -The Differences between Domestic (Finnish) and International Master's Degree Students.Behavioral sciences (Basel, Switzerland) · 2022Article
- Knowledge of hepatitis C and awareness of reinfection risk among people who successfully completed direct acting antiviral therapy.PloS one · 2022Article
- Condomless Anal Sex Associated With Heterogeneous Profiles Of HIV Pre-Exposure Prophylaxis Use and Sexual Activities Among Men Who Have Sex With Men: A Latent Class Analysis Using Sex Diary Data on a Mobile App.Journal of medical Internet research · 2021Article
- Internet gaming disorder behaviours: a preliminary exploration of individualism and collectivism profiles.BMC psychiatry · 2021Article
- Proteus Effect Profiles: how Do they Relate with Disordered Gaming Behaviours?The Psychiatric quarterly · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Latent class analysis is used to group categorical data into classes via a probability model. Model selection criteria then judge how well the model fits the data. When addressing incomplete data, the current methodology restricts the imputation to a single, pre-specified number of classes. We seek to develop an entropy-based model selection criterion that does not restrict the imputation to one number of clusters. Simulations show the new criterion performing well against the current standards of AIC and BIC, while a family studies application demonstrates how the criterion provides more detailed and useful results than AIC and BIC.
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What OpenQuestion holds
Registered trials
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.