Natalia R. Kunst
Faglige interesser
Beslutningsanalytisk modellering, kostnadseffektivitetsanalyser, value of information (VOI), helseøkonomisk evaluering, matematisk modellering, Bayesianske metoder og beslutningsteori, kausal inferens.
Undervisning
- Høst 2019 - Teaching Fellow for the graduate-level course Cost-Effectiveness Analysis and Decision Making [HPM 570], Yale University School of Public Health, Course Faculty: A. David Paltiel
- Vår 2019 - Teaching Fellow for Advanced Topics in Decision-making in Medicine [EWP02], Erasmus Medical Center, Course Faculty: Myriam Hunink
Bakgrunn
- 2019 – Postgraduate Research Fellow, Yale University School of Medicine
- 2018 – Visiting PhD Candidate, Public Health Modeling Unit Yale University School of Public Health
- 2017 – Doktorgradsstipendiat i helseøkonomisk evaluering, Universitetet i Oslo
- 2017 – PhD Research Fellow, Decision Modeling Center VUmc Amsterdam
- 2015 – Senior Helseøkonom, LINK Medical Research, Oslo
- PhD-kurs og forskningsaktiviteter, Department of Economics, Gdansk University of Technology, 2011-2013
- MSc, Department of Economics, Gdansk University of Technology, 2011
- MSc, Department of Economics and Economic Policy, Gdynia University, 2011
Priser
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Gullmedalje for fremragende akademiske resultater og forskning i løpet av mastergraden utdelt av Rektoren ved Gdansk University of Technology.
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Pris for beste masteroppgave i arbeidsøkonomi utdelt av Labor Office in Gdansk.
Samarbeid
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Collaborative Network for Value of Health (ConVOI) (www.convoi-group.org)
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Cancer Outcomes, Public Policy and Effectiveness Research (COPPER) Center, Yale University School of Medicine and Yale Cancer Center (https://medicine.yale.edu/copper/)
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Public Health Modeling Unit, Yale School of Public Health (https://publichealth.yale.edu/modeling/)
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Decision Modeling Center VUmc Amsterdam (http://www.dmc-vumc.nl/)
Publikasjoner
- Kunst, Natalia R.; Alarid-Escudero, Fernando; Paltiel, A. David & Wang, Shi-Yi (2019). A value of information analysis of research on the 21-gene assay for breast cancer management. Value in Health. ISSN 1098-3015. 22(10), s 1102- 1110 . doi: 10.1016/j.jval.2019.05.004
- Kunst, Natalia R.; Lindvik, Helene; Carlsen, Kai-Håkon; Håland, Geir; Jørgensen, Eivind & Carlsen, Karin C. Lødrup (2019). Cost-effectiveness of diagnostic algorithms for peanut allergy in children. Journal of Allergy and Clinical Immunology. ISSN 0091-6749. 143(3), s 1243- 1246 . doi: 10.1016/j.jaci.2018.10.050
- Kunst, Natalia R. (2019). A comprehensive value of information analysis to assess the state of the evidence and quantify uncertainty on the use of 21-gene assay Oncotype DX.
- Kunst, Natalia R. (2018). Future research on the 21-gene assay for breast cancer: A value of information analysis.
- Kunst, Natalia R. (2018). What is the value of further research on the 21-gene assay for breast cancer management?.
- Kunst, Natalia R.; Alarid-Escudero, Fernando & Wang, Shi-Yi (2018). Decisions on Further Research for 21-Gene Assay in Real-World Management of Breast Cancer: A Value of Information Analysis. [Lee B. Lusted Award Finalist].
- Kunst, Natalia R.; Lindvik, Helene; Carlsen, Kai-Håkon; Håland, Geir; Jørgensen, Eivind & Carlsen, Karin C. Lødrup (2018). Diagnosing Peanut Allergy in Children: A Cost-Effectiveness Analysis of Diagnostic Algorithms.
- Kunst, Natalia R. (2017). Health economic modeling to determine the optimal diagnostic algorithm for nut allergy.