Research output per year
Research output per year
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Estimating heterogeneous policy impacts using causal machine learning: a case study of health insurance reform in Indonesia
Kreif, N., DiazOrdaz, K., Moreno Serra, R., Mirelman, A., Hidayat, T. & Suhrcke, M., Jun 2022, In: Health Services and Outcomes Research Methodology. 22, 2, p. 192-227Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Estimating the Health Effects of Expansions in Health Expenditure in Indonesia: A Dynamic Panel Data Approach
Moler-Zapata, S., Kreif, N., Ochalek, J. M., Mirelman, A., Nadjib, M. & Suhrcke, M., 23 Aug 2022, (E-pub ahead of print) In: Applied Health Economics and Health Policy. 11 p.Research output: Contribution to journal › Article › peer-review
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Integrating machine learning estimates of heterogeneous treatment effects and decision modelling
Glynn, D., Kreif, N., Hatamyar, J. F., Pandya, A. & Giardina, J., 2022, (Unpublished).Research output: Contribution to conference › Abstract › peer-review
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UKRI GNCA Extension to R20791: The longer term, average & distributional effects of mental health interventions & the causal impact of mental illness on economic outcomes
Jacobs, R., Jacob, N. & Kreif, N.
1/10/22 → 31/03/23
Project: Research project (funded) › Research
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Tailoring health policies to improve outcomes using machine learning, causal inference and operations research methods
MEDICAL RESEARCH COUNCIL (MRC)
1/09/20 → 31/08/23
Project: Research project (funded) › Research
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Personalising Mental Health Treatments for Young People Using Machine Intelligence (ProMetheUs)
Tiffin, P. A., Ratcliffe, M. J., Churchill, R., Gilbody, S., Kreif, N., Wright, B. J. D., McMillan, D., Cussens, J., Gega, L., Paton, L. W., Habli, I., Tino, P., Coghill, D., Delgadillo, J., Kennedy, E., Dennis, S., Downs, J., Wilkinson, P., James, T., Sayal, K., Lakin, R. & Howes, A.
1/03/20 → …
Project: Other project › Other internal award
Activities
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Learning Optimal Treatment Rules Using Machine Learning and Decision Modelling
David Glynn (Invited speaker) & Noemi Kreif (Invited speaker)
13 Oct 2022Activity: Talk or presentation › Invited talk
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A supply side cost-effectiveness threshold for Indonesia
Jessica Marie Ochalek (Invited speaker) & Noemi Kreif (Invited speaker)
4 Oct 2022Activity: Talk or presentation › Invited talk
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Building peace, improving health: an evening event with perspectives from Colombia
Rodrigo Moreno Serra (Advisor), Noemi Kreif (Contributor), Samuel Lordemus (Contributor), Nina Caspersen (Presenter), Alexandra Rollinger (Organiser), Jean Bernadette Grugel (Chair) & Marc Suhrcke (Contributor)
6 Nov 2019Activity: Other › Public engagement and outreach (social community and cultural engagement)
Datasets
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Data appendices to the paper "From impact evaluation to decision-analysis: assessing the extent and quality of evidence on ‘value for money’ in health impact evaluations in low- and middle-income countries"
Kreif, N. (Creator), University of York, 7 Nov 2020
DOI: 10.15124/cd49d13f-0553-46e7-ab13-c726fc5c97e5
Dataset