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M. E. Bruni, D. Conforti, P. Beraldi and E. Tundis, “Probabilistically Constrained Models for Efficiency and Dominance in DEA,” International Journal of Production Economics, Vol. 117, No. 1, 2009, pp. 219-228.
http://dx.doi.org/10.1016/j.ijpe.2008.10.011

has been cited by the following article:

• TITLE: Breast Cancer Screening: A Stochastic DEA Study

  AUTHORS: Maria Elena Bruni

  KEYWORDS: Stochastic D.E.A.; OR in Health Care; Screening

  JOURNAL NAME: American Journal of Operations Research, Vol.3 No.6, October 31, 2013

  ABSTRACT: The goal of screening tests for breast cancer is early detection and treatment with a consequent reduction in mortality caused by the disease. Screening tests, however, might produce misleading diagnoses and potentially significant emotional, financial and health costs. The effectiveness of a breast screening program has effects on the quality of life of the target population. Even if the screening units regularly attain coverage targets, it remains essential to ensure that women receive the same high standard of service wherever they live. In order to assess the relative efficiency of individual screening units we use stochastic D.E.A. models, which can be used as reliable tools for external audit. The technique is tested on breast cancer screening data of two Italian regions.