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The performance of automated case-mix adjustment regression model building methods in a health outcome prediction setting

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  • Min-Hua Jen
  • Alex Bottle
  • Graham Kirkwood
  • Ron Johnston
  • Paul Aylin

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Suggested Citation

  • Min-Hua Jen & Alex Bottle & Graham Kirkwood & Ron Johnston & Paul Aylin, 2011. "The performance of automated case-mix adjustment regression model building methods in a health outcome prediction setting," Health Care Management Science, Springer, vol. 14(3), pages 267-278, September.
  • Handle: RePEc:kap:hcarem:v:14:y:2011:i:3:p:267-278
    DOI: 10.1007/s10729-011-9159-6
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    References listed on IDEAS

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    1. M.‐H. Chen & J. G. Ibrahim & C. Yiannoutsos, 1999. "Prior elicitation, variable selection and Bayesian computation for logistic regression models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(1), pages 223-242.
    2. Ricardo Cao, 1999. "An overview of bootstrap methods for estimating and predicting in time series," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 8(1), pages 95-116, June.
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    Cited by:

    1. Roshanghalb, Afsaneh & Mazzali, Cristina & Lettieri, Emanuele & Paganoni, Anna Maria & Bottle, Alex, 2021. "Stability over time of the “hospital effect” on 30-day unplanned readmissions: Evidence from administrative data," Health Policy, Elsevier, vol. 125(10), pages 1393-1397.
    2. Lucy Ngaihbanglovi Pachuau & Caterina Tannous & Kingsley Emwinyore Agho, 2021. "Factors Associated with Knowledge, Attitudes, and Prevention towards HIV/AIDS among Adults 15–49 Years in Mizoram, North East India: A Cross-Sectional Study," IJERPH, MDPI, vol. 19(1), pages 1-12, December.

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