Research output per year
Research output per year
Ronald de Vlaming is assistant professor at the department of Economics of the VU.
Ronald's research focusses on the application of statistical methods, matrix algebra, and numerical methods to estimation problems that arise in the study of the genetic architecture of social-scientific outcomes. His work has been published in the following peer-reviewed journals: Molecular Psychiatry, PLOS Genetics, BioMed Research International, Nature Genetics, Nature Human Behaviour, and Nature. He has presented his work at meetings of the Behavior Genetics Association, the Conference on Computational Statistics, and the European Human Genetics Conference.
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In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Economics, PhD, Linear Mixed Models in Statistical Genetics, Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Award Date: 6 Jul 2017
Research output: Contribution to Journal › Article › Academic › peer-review
Research output: Contribution to Journal › Article › Academic › peer-review
Research output: Contribution to Journal › Article › Academic › peer-review
Research output: Contribution to Journal › Article › Academic › peer-review
Research output: Contribution to Journal › Article › Academic › peer-review
Ronald de Vlaming 1/09/24 → 31/08/25 |
Course
Okbay, A. (Contributor), Koellinger, P. (Contributor), Karlsson Linnér, R. (Contributor), de Vlaming, R. (Contributor) & Burik, C. (Contributor), Nature Publishing Group, 2020
DOI: 10.1038/s41380-020-0697-5, https://www.dropbox.com/s/uasusdcs1mw632g/Diet_Fat_GWAS_MA_SSGAC_2020_MolPsych.txt.gz?dl=0 and 4 more links, https://www.dropbox.com/s/l3z74luczs03e5f/Diet_Protein_GWAS_MA_SSGAC_2020_MolPsych.txt.gz?dl=0, https://www.dropbox.com/s/5u931vgaqd0maai/Diet_Carbohydrate_GWAS_MA_SSGAC_2020_MolPsych.txt.gz?dl=0, https://www.dropbox.com/s/so7w77vt9xn8p4m/Diet_Sugar_GWAS_MA_SSGAC_2020_MolPsych.txt.gz?dl=0, https://8a649e3c-e96e-4fce-86bb-b117a3d1270f.filesusr.com/ugd/2f9665_211026bdd1cf4d7d942db1b849a05def.txt?dn=README_diet.txt (show fewer)
Dataset