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Latent Class Model Diagnosis

Citations

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Cited by:

  1. Bei Jiang & Michael R. Elliott & Mary D. Sammel & Naisyin Wang, 2015. "Joint modeling of cross-sectional health outcomes and longitudinal predictors via mixtures of means and variances," Biometrics, The International Biometric Society, vol. 71(2), pages 487-497, June.
  2. Beth A. Reboussin & Nicholas S. Ialongo, 2010. "Latent transition models with latent class predictors: attention deficit hyperactivity disorder subtypes and high school marijuana use," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(1), pages 145-164, January.
  3. Beth A. Reboussin & Edward H. Ip & Mark Wolfson, 2008. "Locally dependent latent class models with covariates: an application to under‐age drinking in the USA," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(4), pages 877-897, October.
  4. Formann, Anton K., 2003. "Latent class model diagnostics--a review and some proposals," Computational Statistics & Data Analysis, Elsevier, vol. 41(3-4), pages 549-559, January.
  5. Keevil, Matthew G. & Armstrong, Doug P. & Brooks, Ronald J. & Litzgus, Jacqueline D., 2021. "A model of seasonal variation in somatic growth rates applied to two temperate turtle species," Ecological Modelling, Elsevier, vol. 443(C).
  6. Anton K. Formann, 2003. "Latent Class Model Diagnosis from a Frequentist Point of View," Biometrics, The International Biometric Society, vol. 59(1), pages 189-196, March.
  7. Yun Li & Jeremy M.G. Taylor & Michael R. Elliott, 2010. "A Bayesian Approach to Surrogacy Assessment Using Principal Stratification in Clinical Trials," Biometrics, The International Biometric Society, vol. 66(2), pages 523-531, June.
  8. Sarrias, Mauricio, 2021. "A two recursive equation model to correct for endogeneity in latent class binary probit models," Journal of choice modelling, Elsevier, vol. 40(C).
  9. Julia Y. Lin & Thomas R. Ten Have & Michael R. Elliott, 2009. "Nested Markov Compliance Class Model in the Presence of Time-Varying Noncompliance," Biometrics, The International Biometric Society, vol. 65(2), pages 505-513, June.
  10. Huiping Xu & Xiaochun Li & Zuoyi Zhang & Shaun Grannis, 2022. "Score test for assessing the conditional dependence in latent class models and its application to record linkage," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1663-1687, November.
  11. Diana L. Miglioretti, 2003. "Latent Transition Regression for Mixed Outcomes," Biometrics, The International Biometric Society, vol. 59(3), pages 710-720, September.
  12. Hwan Chung & Theodore Walls & Yousung Park, 2007. "A Latent Transition Model With Logistic Regression," Psychometrika, Springer;The Psychometric Society, vol. 72(3), pages 413-435, September.
  13. Siqueira, Jose Ribamar & ter Horst, Enrique & Molina, German & Losada, Mauricio & Mateus, Marelby Amado, 2020. "A Bayesian examination of the relationship of internal and external touchpoints in the customer experience process across various service environments," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
  14. Chia-Yi Chiu & Yan Sun & Yanhong Bian, 2018. "Cognitive Diagnosis for Small Educational Programs: The General Nonparametric Classification Method," Psychometrika, Springer;The Psychometric Society, vol. 83(2), pages 355-375, June.
  15. Gioacchino Fazio & Francesca Giambona & Erasmo Vassallo & Elli Vassiliadis, 2018. "A Measure of Trust: The Italian Regional Divide in a Latent Class Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(1), pages 209-242, November.
  16. Yinghan Chen & Steven Andrew Culpepper & Yuguo Chen, 2023. "Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models," Psychometrika, Springer;The Psychometric Society, vol. 88(2), pages 613-635, June.
  17. Labbe Aurelie & Bureau Alexandre & Merette Chantal, 2009. "Integration of Genetic Familial Dependence Structure in Latent Class Models," The International Journal of Biostatistics, De Gruyter, vol. 5(1), pages 1-30, January.
  18. Lee, Jung Wun & Chung, Hwan & Jeon, Saebom, 2021. "Bayesian multivariate latent class profile analysis: Exploring the developmental progression of youth depression and substance use," Computational Statistics & Data Analysis, Elsevier, vol. 161(C).
  19. Jia-Chiun Pan & Guan-Hua Huang, 2014. "Bayesian Inferences of Latent Class Models with an Unknown Number of Classes," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 621-646, October.
  20. Nir Billfeld & Moshe Kim, 2019. "Semiparametric correction for endogenous truncation bias with Vox Populi based participation decision," Papers 1902.06286, arXiv.org.
  21. Korner-Nievergelt, Fränzi & Prévot, Céline & Hahn, Steffen & Jenni, Lukas & Liechti, Felix, 2017. "The integration of mark re-encounter and tracking data to quantify migratory connectivity," Ecological Modelling, Elsevier, vol. 344(C), pages 87-94.
  22. Subtil, Ana & de Oliveira, M. Rosário & Gonçalves, Luzia, 2012. "Conditional dependence diagnostic in the latent class model: A simulation study," Statistics & Probability Letters, Elsevier, vol. 82(7), pages 1407-1412.
  23. Marcus E. Berzofsky & Paul P. Biemer & William D. Kalsbeek, 2014. "Local Dependence in Latent Class Analysis of Rare and Sensitive Events," Sociological Methods & Research, , vol. 43(1), pages 137-170, February.
  24. Yan Feng & Erpeng Liu & Zhang Yue & Qilin Zhang & Tiankuo Han, 2019. "The Evolutionary Trends of Health Behaviors in Chinese Elderly and the Influencing Factors of These Trends: 2005–2014," IJERPH, MDPI, vol. 16(10), pages 1-17, May.
  25. Brzezińska Justyna, 2016. "Latent Variable Modelling and Item Response Theory Analyses in Marketing Research," Folia Oeconomica Stetinensia, Sciendo, vol. 16(2), pages 163-174, December.
  26. Zhenke Wu & Livia Casciola‐Rosen & Antony Rosen & Scott L. Zeger, 2021. "A Bayesian approach to restricted latent class models for scientifically structured clustering of multivariate binary outcomes," Biometrics, The International Biometric Society, vol. 77(4), pages 1431-1444, December.
  27. Brian Neelon & A. James O'Malley & Sharon-Lise T. Normand, 2011. "A Bayesian Two-Part Latent Class Model for Longitudinal Medical Expenditure Data: Assessing the Impact of Mental Health and Substance Abuse Parity," Biometrics, The International Biometric Society, vol. 67(1), pages 280-289, March.
  28. Jing Huang & Ying Yuan & David Wetter, 2019. "Latent Class Dynamic Mediation Model with Application to Smoking Cessation Data," Psychometrika, Springer;The Psychometric Society, vol. 84(1), pages 1-18, March.
  29. Kenneth W. Griffin & Lawrence M. Scheier & Bianca Acevedo & Jerry L. Grenard & Gilbert J. Botvin, 2011. "Long-Term Effects of Self-Control on Alcohol Use and Sexual Behavior among Urban Minority Young Women," IJERPH, MDPI, vol. 9(1), pages 1-23, December.
  30. Benjamin E. Leiby & Mary D. Sammel & Thomas R. Ten Have & Kevin G. Lynch, 2009. "Identification of multivariate responders and non‐responders by using Bayesian growth curve latent class models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(4), pages 505-524, September.
  31. Erpeng Liu & Yan Feng & Zhang Yue & Qilin Zhang & Tiankuo Han, 2019. "Differences in the health behaviors of elderly individuals and influencing factors: Evidence from the Chinese Longitudinal Healthy Longevity Survey," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(4), pages 1520-1532, October.
  32. Hwan Chung & Brian P. Flaherty & Joseph L. Schafer, 2006. "Latent class logistic regression: application to marijuana use and attitudes among high school seniors," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 723-743, October.
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