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Special Report

General population versus disease-specific event rate and cost estimates: potential bias for economic appraisals

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Pages 379-384 | Published online: 09 Jan 2014

References

  • Trueman P, Drummond M, Hutton J. Developing guidance for budget impact analysis. PharmacoEconomics19(6), 609–621 (2001).
  • Orlewska E, Mierzejewski P. Proposal of Polish guidelines for conducting financial analysis and their comparison to existing guidance on budget impact in other countries. Value Health7(1), 1–10 (2004).
  • Mauskopf JA, Sullivan SD, Annemans L et al. Principles of good practice for budget impact analysis: report of the ISPOR Task Force on good research practices – budget impact analysis. Value Health10(5), 336–347 (2007).
  • Capri S, Ceci A, Terranova L et al. Guidelines for economic evaluations in Italy: recommendations from the Italian group of pharmacoeconomic studies. Drug Inf. J.35(1), 189–201 (2001).
  • Szende A, Mogyorosy Z, Muszbek N, Nagy J, Pallos G, Dozsa C. Methodological guidelines for conducting economic evaluation of healthcare interventions in Hungary: a Hungarian proposal for methodology standards. Eur. J. Health Econ.3(3), 196–206 (2002).
  • Ramsey S, Willke R, Briggs A et al. Good research practices for cost–effectiveness analysis alongside clinical trials: the ISPOR RCT-CEA Task Force report. Value Health8(5), 521–533 (2005).
  • von der Schulenburg J, Greiner W, Jost F et al. German recommendations on health economic evaluation: third and updated version of the Hanover Consensus. Value Health11(4), 539–544 (2008).
  • Halpern MT, Luce BR, Brown RE, Geneste B. Health and economic outcomes modeling practices: a suggested framework. Value Health1(2), 131–147 (1998).
  • Hay J, Jackson J. Panel 2: methodological issues in conducting pharmacoeconomic evaluations – modeling studies. Value Health2(2), 78–81 (1999).
  • Sculpher M, Fenwick E, Claxton K. Assessing quality in decision analytic cost–effectiveness models. A suggested framework and example of application. PharmacoEconomics17(5), 461–477 (2000).
  • Weinstein MC, O’Brien B, Hornberger J et al. Principles of good practice for decision analytic modeling in health-care evaluation: report of the ISPOR Task Force on Good Research Practices – Modeling Studies. Value Health6(1), 9–17 (2003).
  • Goeree R, O’Brien BJ, Blackhouse G. Principles of good modeling practice in healthcare cost–effectiveness studies. Expert Rev. Pharmacoeconmics Outcomes Res.4(2), 189–198 (2004).
  • Philips Z, Ginnelly L, Sculpher M et al. Review of guidelines for good practice in decision-analytic modelling in health technology assessment. Health Technol. Assess.8(36), iii–xi, 1 (2004).
  • Philips Z, Bojke L, Sculpher M, Claxton K, Golder S. Good practice guidelines for decision-analytic modelling in health technology assessment: a review and consolidation of quality assessment. PharmacoEconomics24(4), 355–371 (2006).
  • Hailey D. Toward transparency in health technology assessment: a checklist for HTA reports. Int. J. Technol. Assess. Health Care19(1), 1–7 (2003).
  • Canadian Coordinating Office for Health Technology Assessment. In: Guidelines for the Economic Evaluation of Health Technologies (3rd Edition). Canadian Coordinating Office for Health Technology Assessment. CCOHTA, Canada (2006).
  • Danish Centre for Health Technology Assessment. Health Technology Assessment Handbook. National Board of Health, Denmark (2007).
  • National Institute for Health and Clinical Excellence. Guide to the Methods of Technology Appraisal. National Institute for Health and Clinical Excellence, UK (2008).
  • Akobundu E, Ju J, Blatt L, Mullins CD. Cost-of-illness studies: a review of current methods. PharmacoEconomics24(9), 869–890 (2006).
  • Hux J, Tang M. Patterns of prevalence and incidence of diabetes. In: Diabetes in Ontario: an ICES practice atlas. Hux J, Booth G, Slaughter P (Eds.). Institute for Clinical and Evaluative Sciences, 1.1–1.18 (2003).
  • Goeree R, Lim ME, Hopkins R et al. Prevalence, total and excess costs of diabetes and related complications in Ontario, Canada. Can. J. Diabetes33(1), 35–45 (2009).
  • Goeree R, Lim ME, Hopkins R et al. Excess risk of mortality and complications associated with newly diagnosed cases of diabetes in Ontario, Canada. Can. J. Diabetes33(2), 93–104 (2009).
  • O’Reilly D, Hopkins R, Blackhouse G et al. Long-term cost-utility analysis of a multidisciplinary primary care diabetes management program in Ontario. Can. J. Diabetes31(3), 205–214 (2007).
  • Kuntz KM, Weinstein MC. Life expectancy biases in clinical decision modeling. Med. Decis. Making15(2), 158–169 (1995).

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