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

  • Gullmedalje for fremragende akademiske resultater og forskning i løpet av mastergraden utdelt av Rektoren ved Gdansk University of Technology.

  • Pris for beste masteroppgave i arbeidsøkonomi utdelt av Labor Office in Gdansk.

Samarbeid

Emneord: Helseøkonomi, Økonomisk evaluering

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

Se alle arbeider i Cristin

  • 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.

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Publisert 4. jan. 2018 14:00 - Sist endret 16. okt. 2019 14:02