A comparison of the grade of membership measure with alternative health indicators in explaining costs for older people
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DOI: 10.1002/hec.833
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Cited by:
- Ravensbergen, W.M. & Drewes, Y.M. & Hilderink, H.B.M. & Verschuuren, M. & Gussekloo, J. & Vonk, R.A.A., 2019. "Combined impact of future trends on healthcare utilisation of older people: A Delphi study," Health Policy, Elsevier, vol. 123(10), pages 947-954.
- Alessandra Andreotti & Nadia Minicuci & Paul Kowal & Somnath Chatterji, 2009. "Multidimensional Profiles of Health Status: An Application of the Grade of Membership Model to the World Health Survey," PLOS ONE, Public Library of Science, vol. 4(2), pages 1-14, February.
- Abdul Suleman, 2017. "A fuzzy clustering approach to evaluate individual competencies from REFLEX data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(14), pages 2513-2533, October.
- Bartolucci, Francesco & Giorgio E., Montanari & Pandolfi, Silvia, 2012. "Item selection by an extended Latent Class model: An application to nursing homes evaluation," MPRA Paper 38757, University Library of Munich, Germany.
- Wouterse, Bram & Huisman, Martijn & Meijboom, Bert R. & Deeg, Dorly J.H. & Polder, Johan J., 2013. "Modeling the relationship between health and health care expenditures using a latent Markov model," Journal of Health Economics, Elsevier, vol. 32(2), pages 423-439.
- Liu, Li-Fan & Tian, Wei-Hua & Yao, Hui-Ping, 2012. "Utilization of health care services by elderly people with National Health Insurance in Taiwan: The heterogeneous health profile approach," Health Policy, Elsevier, vol. 108(2), pages 246-255.
- Li-Fan Liu, 2014. "The Health Heterogeneity of and Health Care Utilization by the Elderly in Taiwan," IJERPH, MDPI, vol. 11(2), pages 1-14, January.
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