Victoria Stodden, Ph.D.
Affiliations: | 2006 | Stanford University, Palo Alto, CA |
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StatisticsGoogle:
"Victoria Stodden"Parents
Sign in to add mentor| David L. Donoho | grad student | 2006 | Stanford | |
| (Model selection when the number of variables exceeds the number of observations.) | ||||
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Publications
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| Stodden V. (2020) The data science life cycle Communications of the Acm. 63: 58-66 |
| Brinckman A, Chard K, Gaffney N, et al. (2019) Computing environments for reproducibility: Capturing the “Whole Tale” Future Generation Computer Systems. 94: 854-867 |
| Stodden V, Seiler J, Ma Z. (2018) An empirical analysis of journal policy effectiveness for computational reproducibility. Proceedings of the National Academy of Sciences of the United States of America. 115: 2584-2589 |
| Allison DB, Shiffrin RM, Stodden V. (2018) Reproducibility of research: Issues and proposed remedies. Proceedings of the National Academy of Sciences of the United States of America. 115: 2561-2562 |
| Kafkafi N, Agassi J, Chesler EJ, et al. (2018) Reproducibility and replicability of rodent phenotyping in preclinical studies. Neuroscience and Biobehavioral Reviews |
| Berman F, Rutenbar R, Hailpern B, et al. (2018) Realizing the potential of data science Communications of the Acm. 61: 67-72 |
| Jiménez RC, Kuzak M, Alhamdoosh M, et al. (2017) Four simple recommendations to encourage best practices in research software. F1000research. 6 |
| Stodden V, McNutt M, Bailey DH, et al. (2016) Enhancing reproducibility for computational methods. Science (New York, N.Y.). 354: 1240-1241 |
| Stodden V. (2015) Reproducing statistical results Annual Review of Statistics and Its Application. 2: 1-19 |
| Stodden V, Miguez S, Seiler J. (2015) ResearchCompendia.org: Cyberinfrastructure for reproducibility and collaboration in computational science Computing in Science and Engineering. 17: 12-19 |