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The cost-effectiveness of mammography screening: evidence from a microsimulation model for New Zealand

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  • Szeto, Kam Leong
  • Devlin, Nancy J.

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  • Szeto, Kam Leong & Devlin, Nancy J., 1996. "The cost-effectiveness of mammography screening: evidence from a microsimulation model for New Zealand," Health Policy, Elsevier, vol. 38(2), pages 101-115, November.
    • Handle: RePEc:eee:hepoli:v:38:y:1996:i:2:p:101-115
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    References listed on IDEAS

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    1. Donald A. Redelmeier & Daniel N. Heller, 1993. "Time Preference in Medical Decision Making and Cost - Effectiveness Analysis," Medical Decision Making, , vol. 13(3), pages 212-217, August.
    2. Gretchen B. Chapman & Arthur S. Elstein, 1995. "Valuing the Future," Medical Decision Making, , vol. 15(4), pages 373-386, October.
    3. MacDonald, Ronald & Torrance, Thomas S, 1987. "LM3 Surprises and Asset Prices," Economica, London School of Economics and Political Science, vol. 54(216), pages 505-515, November.
    4. Olsen, Jan Abel, 1993. "On what basis should health be discounted?," Journal of Health Economics, Elsevier, vol. 12(1), pages 39-53, April.
    5. Donald A. Redelmeier & Daniel N. Heller & Milton C. Weinstein, 1994. "Time Preference in Medical Economics," Medical Decision Making, , vol. 14(3), pages 301-303, August.
    6. Hall, Jane & Gerard, Karen & Salkeld, Glenn & Richardson, Jeff, 1992. "A cost utility analysis of mammography screening in Australia," Social Science & Medicine, Elsevier, vol. 34(9), pages 993-1004, May.
    7. Emmett B. Keeler & Shan Cretin, 1983. "Discounting of Life-Saving and Other Nonmonetary Effects," Management Science, INFORMS, vol. 29(3), pages 300-306, March.
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    Cited by:

    1. Israel Vieira & Valter Senna & Paul Harper & Arjan Shahani, 2011. "Tumour doubling times and the length bias in breast cancer screening programmes," Health Care Management Science, Springer, vol. 14(2), pages 203-211, June.
    2. Lisa M. Maillart & Julie Simmons Ivy & Scott Ransom & Kathleen Diehl, 2008. "Assessing Dynamic Breast Cancer Screening Policies," Operations Research, INFORMS, vol. 56(6), pages 1411-1427, December.
    3. Anthony O'Hagan & Matt Stevenson & Jason Madan, 2007. "Monte Carlo probabilistic sensitivity analysis for patient level simulation models: efficient estimation of mean and variance using ANOVA," Health Economics, John Wiley & Sons, Ltd., vol. 16(10), pages 1009-1023.
    4. Bech, Mickael & Gyrd-Hansen, Dorte, 2000. "Cost implications of routine mammography screening of women 50-69 years in the County of Funen, Denmark," Health Policy, Elsevier, vol. 54(2), pages 125-141, November.
    5. Natasha Stout & Amy Knudsen & Chung Kong & Pamela McMahon & G. Gazelle, 2009. "Calibration Methods Used in Cancer Simulation Models and Suggested Reporting Guidelines," PharmacoEconomics, Springer, vol. 27(7), pages 533-545, July.
    6. Irmgard C. Schiller-Frühwirth & Beate Jahn & Marjan Arvandi & Uwe Siebert, 2017. "Cost-Effectiveness Models in Breast Cancer Screening in the General Population: A Systematic Review," Applied Health Economics and Health Policy, Springer, vol. 15(3), pages 333-351, June.
    7. Brailsford, S.C. & Harper, P.R. & Sykes, J., 2012. "Incorporating human behaviour in simulation models of screening for breast cancer," European Journal of Operational Research, Elsevier, vol. 219(3), pages 491-507.
    8. Anell, Anders & Norinder, Anna, 2000. "Health outcome measures used in cost-effectiveness studies: a review of original articles published between 1986 and 1996," Health Policy, Elsevier, vol. 51(2), pages 87-99, March.

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