The DOI matches its Crossref record; 54 of the 56 references it cites were found in a registry or an index.
Practitioner’s Guide to Latent Class Analysis: Methodological Considerations and Common Pitfalls
Open accessAbstract
Latent class analysis is a probabilistic modeling algorithm that allows clustering of data and statistical inference. There has been a recent upsurge in the application of latent class analysis in the fields of critical care, respiratory medicine, and beyond. In this review, we present a brief overview of the principles behind latent class analysis. Furthermore, in a stepwise manner, we outline the key processes necessary to perform latent class analysis including some of the challenges and pitfalls faced at each of these steps. The review provides a one-stop shop for investigators seeking to apply latent class analysis to their data.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“LCGA facilitates the classification of individuals according to their most likely trajectory, although findings should be interpreted with caution, as larger sample sizes are generally preferable when using this technique. (Sinha et al., 2021).”
From Long-term cardiometabolic effects of early institutionalization and foster care: Evidence from the Bucharest Early Intervention Project (2026) · cites this paper as Sinha et al., 2021
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In LCA, the probabilities of class membership are obtained, which in turn allows statistical inference when determining the most appropriate number of classes for a population [44], not clear-cut class assignments as occurs in cluster analysis.”
From Recommendations for empirical syndemics analyses: A stepwise methodological guide (2024) · cites this paper as [44]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“In this context, although our four-class BMI trajectory model demonstrated reasonable entropy (0.88), suggesting accurate class separation, the results of the LCGA should be interpreted with caution, as a larger sample size would likely provide higher fit accuracy and greater generalizability (Sinha et al., 2021).”
From Long-term cardiometabolic effects of early institutionalization and foster care: Evidence from the Bucharest Early Intervention Project (2026) · cites this paper as Sinha et al., 2021
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
Rousseeuw, P. J. (1987) · Journal of Computational and Applied Mathematics · doi:10.1016/0377-0427(87)90125-7 · Cited by 21,392
Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
Vuong, Q. H. (1989) · Econometrica · doi:10.2307/1912557 · Cited by 5,929
Enders, C., & Bandalos, D. (2001) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0803_5 · Cited by 4,978
Testing the number of components in a normal mixture
Lo, Y. (2001) · Biometrika · doi:10.1093/biomet/88.3.767 · Cited by 4,640
Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013) · Educational and Psychological Measurement · doi:10.1177/0013164413495237 · Cited by 3,931
Hawkins, D. M. (2004) · Journal of Chemical Information and Computer Sciences · doi:10.1021/ci0342472 · Cited by 2,522
Acute respiratory distress syndrome
Matthay, M. A., Zemans, R. L., Zimmerman, G. A., Arabi, Y. M., Beitler, J. R., Mercat, A., Herridge, M. S., Randolph, A. G., & Calfee, C. S. (2019) · Nature Reviews Disease Primers · doi:10.1038/s41572-019-0069-0 · Cited by 2,514
Self-citationHow to Use a Monte Carlo Study to Decide on Sample Size and Determine Power
Muthén, L. K., & Muthén, B. O. (2002) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0904_8 · Cited by 2,362
Statistical Power to Detect the Correct Number of Classes in Latent Profile Analysis
Tein, J., Coxe, S. J., & Cham, H. (2013) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2013.824781 · Cited by 2,042
Vrieze, S. I. (2012) · Psychological Methods · doi:10.1037/a0027127 · Cited by 1,948
Research works printed but not linked: 3
- Nylund, 2008, Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study (vol 14, pg 535, 2007)., Struct Equ Modeling, 15, 182
- Tofighi, 2007, Identifying the correct number of classes in growth mixture models., Information Age, 317
- McLachlan, 1987, On boostrapping the likelihood ratio test statistic for the number of components in a normal mixture., J R Stat Soc Ser C Appl Stat, 36, 318
Cited by
Sorted by citations
Items 501–600 of 1,000
Price, A. A., Leavitt, C. E., Gibby, A. L., Busby, D. M., & Holmes, E. K. (2025) · Current Psychology · doi:10.1007/s12144-025-07959-w · Cited by 3
Latent Health Status Trajectories in Individuals With New or Worsening Claudication Symptoms
Grubman, S., Romain, G., Cleman, J., Scierka, L. E., Pajarillo, C. S., Kluger, J., Mena‐Hurtado, C., & Smolderen, K. G. E. (2025) · Journal of the American Heart Association · doi:10.1161/jaha.124.039455 · Cited by 2
Figueroa, J. C., Roberts, E., Cole, F., Boudart, Z., Gordon, T., Rodríguez-Atristain, A., Téllez‐Rojo, M. M., Figueroa-Oropeza, J. L., & Sánchez, B. N. (2025) · Journal of Nutrition · doi:10.1016/j.tjnut.2025.06.020 · Cited by 2
Lodge, W., Rawat, S. M., Dange, A., Chaudary, J., Agénor, M., Anand, V. R., Operario, D., Mimiaga, M. J., & Biello, K. B. (2025) · International Journal of Transgender Health · doi:10.1080/26895269.2025.2527828 · Cited by 2
Parnes, M. F., Gonzalez, E., Trần, N., Stein, M. A., Mendoza, J. A., & Tandon, P. S. (2025) · Journal of Physical Activity and Health · doi:10.1123/jpah.2024-0497 · Cited by 2
Kew, C. L., Han, G., Holland, A., Smith, M. L., & Juengst, S. B. (2025) · Geriatric Nursing · doi:10.1016/j.gerinurse.2025.103462 · Cited by 2
The silent epidemic: unravelling NCD risk clusters and socioeconomic determinants in Zambia
Christian, A. K., Egerson, D., & Sanuade, O. A. (2025) · BMC Public Health · doi:10.1186/s12889-025-23769-y · Cited by 2
Patients’ Preferences for Parkinson’s Disease Pharmacotherapy: An Online Discrete Choice Experiment
Nishikawa, N., Kogo, Y., Ishida, T., Takahashi, K., & Takeda, A. (2025) · Parkinson s Disease · doi:10.1155/padi/9526138 · Cited by 2
Godoy, S. M., Chapman, M. V., Jensen, T. M., Bath, E. P. J., Abrams, L. S., Goode, R. W., & Hall, W. J. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1602085 · Cited by 2
How Do People Perceive Media‐Reported Risks: Risk Networks and Profiles of Segments
Wang, C., Trinh, T. T., Lo, C. J., Jensen, O., Ng, R., Lee, L., & Shou, Y. (2025) · Risk Analysis · doi:10.1111/risa.70090 · Cited by 2
Thurston, C., Murray, A. L., Franchino-Olsen, H., & Meinck, F. (2025) · International Journal on Child Maltreatment Research Policy and Practice · doi:10.1007/s42448-025-00231-5 · Cited by 4
Brennan, M. M., Mongan, D., Doyle, A., Millar, S., Cavallaro, M., Zgaga, L., Smyth, B. P., Nixon, E., Ivers, J., Galvin, B., et al. (2025) · Addiction · doi:10.1111/add.70182 · Cited by 2
Yeom, S., Kim, Y. M., & Lee, J. E. (2025) · Journal of the Association of Nurses in AIDS Care · doi:10.1097/jnc.0000000000000584 · Cited by 2
Araujo, B. B., Blötner, C., Láng, A., & Schermer, J. A. (2025) · European Journal of Investigation in Health Psychology and Education · doi:10.3390/ejihpe15090185 · Cited by 2
The gears in network dynamics: The alter-trajectory approach
Offer, S., Fischer, C. S., & Lee, K. (2025) · Social Networks · doi:10.1016/j.socnet.2025.08.003 · Cited by 2
van Tilburg, C. A., de Ruiter, C., Lodder, P., Bachrach, N., & van Dam, A. (2025) · Psychotherapy Research · doi:10.1080/10503307.2025.2548501 · Cited by 2
Disease activity and mental health symptoms in axial spondyloarthritis: concordant or discordant?
Zhao, S. S., Webers, C., Nikiphorou, E., van der Heijde, D. M. F. M., Braun, J., Kiltz, U., Ramiro, S., & Boonen, A. E. R. C. H. (2025) · Rheumatology · doi:10.1093/rheumatology/keaf506 · Cited by 2
Christian, H. E., Adams, E., Trost, S. G., Schipperijn, J., Murray, K., Boruff, B. J., Nathan, A., Stratton, G., & Robinson, T. (2025) · Environment and Behavior · doi:10.1177/00139165251375176 · Cited by 2
Chen, L., Wu, R., Wang, H., Li, Y., Liu, M., Chen, H., Xiao, D., & Xiong, X. (2025) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2025.1682875 · Cited by 2
Stampa, E., Janßen, M., & Zander, K. (2025) · Agricultural and Food Economics · doi:10.1186/s40100-025-00413-2 · Cited by 2
Comey, C., Anindya, K., Santosa, A., Kowal, P. R., Chhim, S., Sopheab, H., & Ng, N. (2025) · Journal of Epidemiology and Global Health · doi:10.1007/s44197-025-00464-0 · Cited by 2
Lopes, J. M., Bertuccio, P., Vecchio, R., Vigezzi, G. P., Blandi, L., & Odone, A. (2025) · Neurology International · doi:10.3390/neurolint17100172 · Cited by 2
Choe, J.-P., Kang, M., & Chang, Y. (2025) · Journal of Physical Activity and Health · doi:10.1123/jpah.2025-0364 · Cited by 2
Lung cancer symptoms awareness among Ethiopian adults: A latent class analysis
Estifanos, N., Egata, G., Addissie, A., Kebede, R. A., Bekele, A., & Deyessa, N. (2025) · PLoS ONE · doi:10.1371/journal.pone.0332952 · Cited by 2
Coston, T. D., Poolchanuan, P., Ross, J. E., Xia, L., Zelnick, L. R., Hantrakun, V., Chamnan, P., Wongsuvan, G., Furfaro, D. M., O’Donnell, M. R., et al. (2025) · EClinicalMedicine · doi:10.1016/j.eclinm.2025.103572 · Cited by 2
Hasanov, T., & Charlier, D. (2025) · Energy Economics · doi:10.1016/j.eneco.2025.109000 · Cited by 2
Hou, X., Deng, Z., Zhou, Y., Hong, J., Wu, F., Li, Y., Huang, J., Dai, C., Lu, L., Tang, G., et al. (2025) · MedComm · doi:10.1002/mco2.70444 · Cited by 2
Cashman, M., Strandh, M., & Högberg, B. (2025) · Scandinavian Journal of Educational Research · doi:10.1080/00313831.2025.2587963 · Cited by 3
Lipka, R., Kreuzpointner, L., Bärtl, C., Giglberger, M., Konzok, J., Peter, H. L., Speicher, N., Waller, L., Kudielka, B. M., Wüst, S., et al. (2026) · Translational Psychiatry · doi:10.1038/s41398-026-04140-0 · Cited by 2
Wang, W., Haq, J., Long-Mills, E., Tumin, D., & Chumakova-Orin, M. (2025) · Hernia · doi:10.1007/s10029-025-03539-w · Cited by 2
Aheto, J. M. K., Wellington, P. O., & Amponsah, I. K. V. (2025) · BMC Women s Health · doi:10.1186/s12905-025-04144-w · Cited by 2
Seely, H. D., Still, L., Weinberger, E., Chen, E., Holmes, K. L., Loh, R. M., & Thurstone, C. (2025) · Future · doi:10.3390/future3040025 · Cited by 2
Han, N. A., Tolley, P. D., Huang, J. Y., Magee, L., Hu, A. C., Ryan, I. A., Jackson, O. A., Low, D. W., Bartlett, S. P. P., Taylor, J. A., et al. (2025) · The Cleft Palate-Craniofacial Journal · doi:10.1177/10556656251396633 · Cited by 2
Latent Transition Analysis of Bullying and Victimization Experience in Early Adolescence
Cárcamo, M., Cumsille, P. E., & Gaete, J. (2025) · School Mental Health · doi:10.1007/s12310-025-09761-2 · Cited by 3
Liu, H., Kong, Y., Cao, X., Liu, J., Zhou, R., Lin, Q., Liu, W., & Chen, Y. (2025) · Psychiatry Research · doi:10.1016/j.psychres.2025.116912 · Cited by 3
Chen, J., Wang, J., Wei, J., Yang, K., Deng, B., & Liu, N. (2025) · Geriatric Nursing · doi:10.1016/j.gerinurse.2025.103776 · Cited by 2
Bentley, S. V., Schleiger, E., McCrea, R., Coates, R. L., & Hobman, E. V. (2025) · Technology in Society · doi:10.1016/j.techsoc.2025.103207 · Cited by 2
Møller-Skau, C., Lorentzen, C., Moradi, S., & Bauger, L. (2026) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2025.1712055 · Cited by 2
Bordvik, D. H., Mulrooney, E., Pettersen, P. S., Gløersen, M., Sundbakk, L. M., Neogi, T., Kjeken, I., & Haugen, I. K. (2026) · Osteoarthritis and Cartilage Open · doi:10.1016/j.ocarto.2026.100745 · Cited by 2
Zhang, H., Liu, W., Hao, X., Zhao, X., & Li, K. (2026) · Western Journal of Nursing Research · doi:10.1177/01939459251405055 · Cited by 2
Cao, R., Xu, X., Chen, H., Sun, H., & Yan, C. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121258 · Cited by 2
Derenthal, J., & Toporowski, W. (2026) · Corporate Social Responsibility and Environmental Management · doi:10.1002/csr.70443 · Cited by 2
娜, 宋., Zhang, N., Gao, W., Zhang, Z., Lei, J., Han, H., Li, B., Liu, J., Li, L., & Jiang, N. (2026) · BMC Nephrology · doi:10.1186/s12882-026-04798-0 · Cited by 2
Sleep–wake dysregulation and altered melatonin in neurofibromatosis type 1
Pride, N. A., Payne, J. M., Haebich, K. M., Arnold, S. S., Bournazos, A., Habib, J., Yates, C., Guzzetti, J. R., Darke, H., Pascouau, R., et al. (2026) · SLEEP · doi:10.1093/sleep/zsag037 · Cited by 2
Perceptions of Feminism as a Threat
Anduiza, E., & Off, G. (2026) · Politics & Gender · doi:10.1017/s1743923x26100592 · Cited by 2
Chemotherapy-related symptoms in colorectal cancer patients: A latent profile analysis
Xia, W., Luo, Z., Shan, S., Chen, J., Guo, D., & Tian, L. (2026) · BMC Cancer · doi:10.1186/s12885-026-15710-2 · Cited by 2
Ma, J., Yu, W., Xu, Q., Shi, L., & Zhang, Y. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1749638 · Cited by 2
Classifying energy insecurity among households with medical devices through latent class analysis
Dean, M. D., & Asmussen, K. E. (2026) · Environmental Research Health · doi:10.1088/2752-5309/ae4ac8 · Cited by 2
Keinänen, X., Vauhkonen, P. K., & Oura, P. (2026) · Forensic Science Medicine and Pathology · doi:10.1007/s12024-026-01195-9 · Cited by 2
Association of Unilateral and Bilateral Speech‐In‐Noise Hearing Status With Dementia
Lang, H., Ye, Z., Wang, X., Peng, B., Chen, X., Fang, Y., & Xin, J. (2026) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.70199 · Cited by 2
Giesinger, I., Buajitti, E., Siddiqi, A., Smith, P. M., Krishnan, R. G., Postill, G., & Rosella, L. C. (2026) · Annals of Epidemiology · doi:10.1016/j.annepidem.2026.110062 · Cited by 2
Profiling office workers’ comfort-related adaptive actions: a latent class analysis
Li, H., Appel‐Meulenbroek, R., Arentze, T., & Hoes, P.-J. (2026) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2026.102979 · Cited by 2
Zeng, Y., Chen, H., Zhou, G., Xie, S., Fan, Y., & Tang, Y. (2026) · BMC Nursing · doi:10.1186/s12912-026-04523-0 · Cited by 2
Identification of tailored faculty development for diverse career trajectories in hospital medicine
Shrestha, S., Bozaan, D., Tian, S., Rennke, S., Felde, L., Klimenko, M., Niranjan-Azadi, A. M., Jha, P., Murphy, E., Paje, D. G., et al. (2026) · Journal of Hospital Medicine · doi:10.1002/jhm.70292 · Cited by 2
Beyond the PaO2/FiO2 ratio: Rethinking ARDS severity through the Lens of physiology
Al-Husinat, L., Khamis, R., Azzam, S., Trdeh, M., Jouryyeh, B., Sharie, S. A., Touqan, M., Alomari, A., Nasa, P., Schultz, M. J., et al. (2026) · Annals of Intensive Care · doi:10.1016/j.aicoj.2026.100057 · Cited by 2
Chu, J., Yang, Y., & Wu, J. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1815526 · Cited by 2
Trompeter, N., Nadarajah, A., Sharpe, H., Duffy, F., Maloney, E., Nicholls, D., Serpell, L., Schmidt, U. H., & Jewell, T. (2026) · BMJ Public Health · doi:10.1136/bmjph-2025-003666 · Cited by 2
Villanen, H., Muhonen, H., Sevón, E., Alasuutari, M., & Lerkkanen, M. (2026) · Early Childhood Education Journal · doi:10.1007/s10643-026-02173-0 · Cited by 2
Huang, K., Taylor, B. G., Hotton, A., Brewer, R., Sheng, Y., Motley, D., McNulty, M., Pollack, H. A., & Schneider, J. A. (2026) · Annals of Epidemiology · doi:10.1016/j.annepidem.2026.110118 · Cited by 2
Zheng, X., Liu, F., & Shi, H. (2026) · Journal of Parenteral and Enteral Nutrition · doi:10.1002/jpen.70103 · Cited by 2
Paine, A. L., Eaton, S., Bekiropoulou, A., Hobson, C. W., Waters, C., Thapar, A., Shelton, K. H., Langley, K., Jones, C. R. G., Hay, D. F., et al. (2026) · JCPP Advances · doi:10.1002/jcv2.70138 · Cited by 2
Goroshchuk, O., Pérez-Gómez, N., Carmona, F., Taylor, H. S., Flores, I., Saiz‐Rodríguez, M., & Koller, D. (2026) · Human Reproduction · doi:10.1093/humrep/deag101 · Cited by 2
Srinivas, T., Hanumaiah, G., Nagendra, D., Rao, S., Chaudhuri, S., Bhat, V. R., & Kamath, S. U. (2026) · Journal of Translational Medicine · doi:10.1186/s12967-026-08585-1 · Cited by 2
Peng, W., Zhou, Z., & Chen, Z. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1818418 · Cited by 2
Xiong, F., Acharya, N. R., Rao, N. A., Mochizuki, M., Lietman, T. M., & Gonzales, J. A. (2024) · Ophthalmology Science · doi:10.1016/j.xops.2024.100503 · Cited by 2
Parental Influence on Child Social and Emotional Functioning
(2024) · Frontiers research topics · doi:10.3389/978-2-8325-4659-8 · Cited by 2
Stevely, A. K., Gray, L. A., Fairbrother, H., Fenton, L., Henney, M., Kersbergen, I., & Holmes, J. (2024) · PLoS ONE · doi:10.1371/journal.pone.0305124 · Cited by 2
Latent classification model for censored longitudinal binary outcome
Kuo, J. C., Chan, W., León‐Novelo, L., Lairson, D. R., Brown, A. O., & Fujimoto, K. (2024) · Statistics in Medicine · doi:10.1002/sim.10156 · Cited by 2
Castillo, M. E., Costa, L. M. E., Pata, M. P., Gámez, B. J., Corroto, C. M., Rebollo, C. G., Padilla, E. M., Bouillon, R., & Quesada‐Gómez, J. M. (2024) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2024.106609 · Cited by 2
van der Leeuw, R. M., Bouwmeester, N. H., Eva, K. W., Hiligsmann, M., & Teunissen, P. W. (2024) · Medical Education · doi:10.1111/medu.15541 · Cited by 2
Kobayashi, H., Angriman, F., Ferguson, N. D., & Adhikari, N. K. J. (2024) · Critical Care Explorations · doi:10.1097/cce.0000000000001178 · Cited by 2
Ni, F., Cai, T., Zhou, T., & Yuan, C. (2024) · International Journal of Nursing Sciences · doi:10.1016/j.ijnss.2024.12.007 · Cited by 2
Zhao, X. S., Xie, X., Zhou, H. P., Zhong, F., & Liu, C. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1479614 · Cited by 2
Murphy, A. D., Elbarazi, I., Horen, N. M., Ismail-Allouche, Z., Long, T. M., McNeill, A., Arafat, C., & England, D. E. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-06623-8 · Cited by 2
Gou, X., Yang, S., Chen, L., Dong, H., Wang, Y., Wang, X., & Wu, J. (2025) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvaf061 · Cited by 2
Lee, A., Park, E. J., & Kim, Y. (2025) · Scientific Reports · doi:10.1038/s41598-025-99255-7 · Cited by 2
Madsen, E. B., Egmose, I., Stuart, A. C., Krogh, M. T., Haase, T. W., Karstoft, K., & Væver, M. S. (2025) · Infant Mental Health Journal · doi:10.1002/imhj.70021 · Cited by 2
Qin, Y., Liu, J., Duan, J., & Yang, B. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1581640 · Cited by 2
Ercis, M., Miola, A., Ortiz‐Orendain, J., Pazdernik, V., González-Campos, T., Gardea‐Resendez, M., Gruhlke, P. M., Michel, I. M., Voort, J. L. V., McKean, A. J. S., et al. (2025) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13826 · Cited by 2
Godoy, S. M., Englert, A. R., Mazursky, N., Prout, L., & Hall, W. J. (2025) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph22071062 · Cited by 2
Duong, B. Q., Seligson, N. D., Cook, K. J., Lemke, L. K., Arn, P. H., Pluta, K., Funanage, V. L., Salloum, R. G., & Blake, K. (2025) · Pediatric Research · doi:10.1038/s41390-025-04057-2 · Cited by 2
Exemplification méthodologique d'une analyse de classes latentes avec R
Bellemare-Lepage, A., Chatelois, M., & Caron, P. (2023) · The Quantitative Methods for Psychology · doi:10.20982/tqmp.19.2.p217 · Cited by 2
Identifying Comorbid Subtypes of Patients With Acute Respiratory Failure
Potter, K. M., Dunn, H., Krupp, A. E., Mueller, M., Newman, S. D., Girard, T. D., & Miller, S. (2023) · American Journal of Critical Care · doi:10.4037/ajcc2023980 · Cited by 2
Shakya, S., Silva, S. G., McConnell, E. S., McLaughlin, S. J., & Cary, M. P. (2023) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2023.105171 · Cited by 2
Heterogeneity in sociodemographic characteristics of people who use different ENDS devices
Nian, Q., Cohen, J. E., Sinamo, J. K., Crespi, E., Zaman, R., & Hardesty, J. J. (2023) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2023.102561 · Cited by 2
Using latent class analysis to operationalize a wholistic assessment of Inuit health and well-being
Bertheussen, M., Riva, M., Jock, B., Fletcher, C. M., Ayotte, P., Muckle, G., Poliakova, N., & Bélanger, R. E. (2024) · International Journal of Circumpolar Health · doi:10.1080/22423982.2024.2322186 · Cited by 2
Grant, M., Meissel, K., & Exeter, D. J. (2024) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2024.100931 · Cited by 2
Scroggins, J. K., Topaz, M., Min, S. H., & Barcelona, V. (2024) · Journal of Obstetric, Gynecologic & Neonatal Nursing · doi:10.1016/j.jogn.2024.07.004 · Cited by 2
Porter, E. F., Mendoza, M. P., Deng, M., Horwitz, S. D., Soltys, M. A., & Hattery, A. J. (2024) · Race and Justice · doi:10.1177/21533687241277254 · Cited by 2
Bilò, M. B., Martini, M., Antonicelli, L., Michele, F. D., Vaghi, A., Musarra, A., & Micheletto, C. (2024) · Allergy · doi:10.1111/all.16409 · Cited by 2
Schnyder, N., Wrede, N., Zick, A., und, M. K., & Albrecht, J. N. (2024) · Praxis der Rechtspsychologie · doi:10.1026/0939-9062/a000014 · Cited by 2
Haag, K., Watts, T. W., Hannigan, L. J., Ask, H., Alexandersen, N., Wang, M. V., & Brandlistuen, R. E. (2025) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.14158 · Cited by 2
Surżykiewicz, J., Toussaint, L. L., Riedl, E. M., Harder, J., Loichen, T., Büssing, A., Maier, K., & Skalski‐Bednarz, S. B. (2025) · Healthcare · doi:10.3390/healthcare13070763 · Cited by 2
Subtypes of Older Adults Starting Long-Term Care in Japan: Application of Latent Class Analysis
Hamasaki, Y., Iwagami, M., Komiyama, J., Ito, Y., Taniguchi, Y., Inokuchi, R., Watanabe, T., Goto, T., Kuroda, N., Suzuki, A., et al. (2024) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2025.105589 · Cited by 2
Read, D., Cope, E., Bennett, M., & Taylor, L. K. (2025) · Journal of science and medicine in sport · doi:10.1016/j.jsams.2025.05.008 · Cited by 3
Leri, J., Cisler, J. M., Clark, S. L., Dodd, C. G., Siddiqui, S., Taylor, L., Ayala, A., Stewart, S. M., Richmond, R., Shahidullah, J. D., et al. (2025) · Chronic Stress · doi:10.1177/24705470251350144 · Cited by 2
Mouseli, A., Shahrokhi, P., Sharafi, M., Mastaneh, Z., Gharibzadeh, A., Jamali, L., & Shekari, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-13058-4 · Cited by 2
Heinrich, F., Wong, T. L. E., Graf, W., Dost, K., Brennecke, A., Kowalski, V., van Rüth, V., Iwersen‐Bergmann, S., Hajek, A., König, H., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-18552-3 · Cited by 2
Cserna, J., Baumann, C. K., Lobmeyr, E., Grafeneder, J., Ettl, F., Eibensteiner, F., Rabitsch, W., Mitterbauer, M., Knaus, H. A., & Wohlfarth, P. (2023) · Transplantation and Cellular Therapy · doi:10.1016/j.jtct.2023.02.018 · Cited by 2
Are There Distinct Cardiovascular Subclasses in Acute Respiratory Distress Syndrome? Maybe*
Sinha, P., & Lawler, P. R. (2023) · Critical Care Medicine · doi:10.1097/ccm.0000000000005816 · Cited by 2
Self-citation
Metadata
- Authors
- Sinha, P., Calfee, C. S., & Delucchi, K. L.
- Affiliations
- University of California, San Francisco (US)
- Venue
- Critical Care Medicine
- Published
- 2020-11-09
- Volume
- 49
- Issue
- 1
- Pages
- e63-e79
- ISSN
- 0090-3493 (ISSN-L)
- PMC
- PMC7746621
- OpenAlex
- W3102547229
- Cited by
- 1,204
- References
- 56
- Citations by year
- 2026: 386 · 2025: 382 · 2024: 290 · 2023: 98 · 2022: 35 · 2021: 13
- FWCI
- 7.14
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Critical Care Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Heart, Lung, and Blood Institute (R35HL140026)
- National Institute of General Medical Sciences (T32GM008440)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Methods and Mixture Models
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- latent class analysis, clustering, stochastic modeling, statistical inference, intensive care, respiratory medicine, methodological pitfalls, data analysis pipeline
- MeSH terms
- Latent Class Analysis, Data Interpretation, Statistical, Humans, Statistics as Topic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
