Literature DB >> 21930515

Probabilistic sensitivity analysis in health economics.

Gianluca Baio1, A Philip Dawid2.   

Abstract

Health economic evaluations have recently become an important part of the clinical and medical research process and have built upon more advanced statistical decision-theoretic foundations. In some contexts, it is officially required that uncertainty about both parameters and observable variables be properly taken into account, increasingly often by means of Bayesian methods. Among these, probabilistic sensitivity analysis has assumed a predominant role. The objective of this article is to review the problem of health economic assessment from the standpoint of Bayesian statistical decision theory with particular attention to the philosophy underlying the procedures for sensitivity analysis.
© The Author(s) 2011.

Keywords:  Bayesian decision theory; health economic evaluation; sensitivity analysis

Mesh:

Year:  2011        PMID: 21930515     DOI: 10.1177/0962280211419832

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  36 in total

1.  Probabilistic Sensitivity Analysis in Cost-Effectiveness Models: Determining Model Convergence in Cohort Models.

Authors:  Anthony J Hatswell; Ash Bullement; Andrew Briggs; Mike Paulden; Matthew D Stevenson
Journal:  Pharmacoeconomics       Date:  2018-12       Impact factor: 4.981

2.  Economic Evaluations of Tyrosine Kinase Inhibitors for Patients with Chronic Myeloid Leukemia in Middle- and High-Income Countries: A Systematic Review.

Authors:  Jie Fu; Yuchen Liu; Houwen Lin; Bin Wu
Journal:  Clin Drug Investig       Date:  2018-12       Impact factor: 2.859

3.  A Flexible Open-Source Decision Model for Value Assessment of Biologic Treatment for Rheumatoid Arthritis.

Authors:  Devin Incerti; Jeffrey R Curtis; Jason Shafrin; Darius N Lakdawalla; Jeroen P Jansen
Journal:  Pharmacoeconomics       Date:  2019-06       Impact factor: 4.981

4.  Calculating the Expected Value of Sample Information in Practice: Considerations from 3 Case Studies.

Authors:  Anna Heath; Natalia Kunst; Christopher Jackson; Mark Strong; Fernando Alarid-Escudero; Jeremy D Goldhaber-Fiebert; Gianluca Baio; Nicolas A Menzies; Hawre Jalal
Journal:  Med Decis Making       Date:  2020-04-16       Impact factor: 2.583

5.  The Cost-effectiveness and Budget Impact of 2-Drug Dolutegravir-Lamivudine Regimens for the Treatment of HIV Infection in the United States.

Authors:  Michael P Girouard; Paul E Sax; Robert A Parker; Babafemi Taiwo; Kenneth A Freedberg; Roy M Gulick; Milton C Weinstein; A David Paltiel; Rochelle P Walensky
Journal:  Clin Infect Dis       Date:  2015-12-09       Impact factor: 9.079

6.  Probabilistic threshold analysis by pairwise stochastic approximation for decision-making under uncertainty.

Authors:  Takashi Goda; Yuki Yamada
Journal:  Sci Rep       Date:  2021-10-04       Impact factor: 4.379

7.  Life Years Lost Associated with Obesity-Related Diseases for U.S. Non-Smoking Adults.

Authors:  Su-Hsin Chang; Lisa M Pollack; Graham A Colditz
Journal:  PLoS One       Date:  2013-06-18       Impact factor: 3.240

8.  Cost-Effectiveness Analysis Combining Medical and Mental Health Services for Older Adults with HIV in New York City.

Authors:  Juan J DelaCruz; Christos Giannikos; Andreas Kakolyris; Robert C Utzinger; Stephen E Karpiak
Journal:  Atl Econ J       Date:  2021-03-08

9.  Long-term health outcomes and cost-effectiveness of a computer-tailored physical activity intervention among people aged over fifty: modelling the results of a randomized controlled trial.

Authors:  Denise A Peels; Rudolf R Hoogenveen; Talitha L Feenstra; Rianne Hj Golsteijn; Catherine Bolman; Aart N Mudde; Gerrie Cw Wendel-Vos; Hein de Vries; Lilian Lechner
Journal:  BMC Public Health       Date:  2014-10-23       Impact factor: 3.295

10.  Computing the Expected Value of Sample Information Efficiently: Practical Guidance and Recommendations for Four Model-Based Methods.

Authors:  Natalia Kunst; Edward C F Wilson; David Glynn; Fernando Alarid-Escudero; Gianluca Baio; Alan Brennan; Michael Fairley; Jeremy D Goldhaber-Fiebert; Chris Jackson; Hawre Jalal; Nicolas A Menzies; Mark Strong; Howard Thom; Anna Heath
Journal:  Value Health       Date:  2020-05-27       Impact factor: 5.725

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