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Will they stay or will they go?

Predicting disenrollment from home care services to nursing homes using classification trees

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  • Here’s to Your Health
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CHANCE

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Further Reading

  • Berlowitz, D.R., A.S. Ash, E.C. Hickey, R.H. Friedman, M. Glickman, B. Kader, and M.A. Moskowitz. 1998. Inadequate management of blood pressure in a hypertensive population. New England Journal of Medicine 339:1957–1963.

    Article  Google Scholar 

  • Breiman, L. 2001. Random forests. Machine Learning 45(1): 5–32.

    Article  MATH  Google Scholar 

  • Breiman, L., J.H. Friedman, R.A. Olshen, and C.J. Stone. 1984. Classification and regression trees. New York: Chapman & Hall.

    MATH  Google Scholar 

  • Chipman, H., E. George, and R. McCulloch. 2008. BART: Bayesian additive regression trees. http://arxiv.org/abs/0806.3286 .

  • Loh, W.Y. 2002. Regression trees with unbiased variable selection and interaction detection. Statistica Sinica 12:361–386.

    MATH  MathSciNet  Google Scholar 

  • Mehdizadeh S., I. Nelson, and L. Theimen. 2007. PASSPORT consumer eligibility. Miami, Ohio: Miami University. www.scripps.muohio.edu/research/publications/documents/PASSPORTConsumerEligibilityv1.pdf.

    Google Scholar 

  • Toschke, A.M., A. Beyerlein, and R. von Kries. 2005. Children at high risk for overweight: A classification and regression trees analysis approach. Obesity Research 13:1270–1274.

    Article  Google Scholar 

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Noe, D.A., Nelson, I.M., Mehdizadeh, S. et al. Will they stay or will they go?. CHANCE 22, 58 (2009). https://doi.org/10.1007/s00144-009-0046-6

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  • DOI: https://doi.org/10.1007/s00144-009-0046-6

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