REFERENCES
- Centers for Disease Control and Prevention (CDC) (2013), “National Health and Nutrition Examination Survey,” available at http://www.cdc.gov/nchs/nhanes/.
- Colditz, G.A., Manson, J.E., and Hankinson, S.E. (1997), “The Nurses’ Health Study: 20-Year Contribution to the Understanding of Health Among Women,” Journal of Women's Health, 6, 49–62.
- Khoury, M.J., and Ioannidis, J.P. (2014), “Medicine. Big Data Meets Public Health,” Science, 346, 1054–1055.
- Leek, J.T., and Peng, R.D. (2015), “Opinion: Reproducible Research Can Still be Wrong: Adopting a Prevention Approach,” Proceedings of the National Academy of Sciences of the United States of America, 112, 1645–1646.
- National Cancer Institute (2015), “SEER-Medicare Linked Database,” available at http://healthcaredelivery.cancer.gov/seermedicare/.
- National Institutes of Health Big Data to Knowledge (2015), “What is Big Data?” Available at https://datascience.nih.gov/bd2k/about/what.
- Open Science Data Cloud (2015), ``Open Science Data Cloud,” available at https://www.opensciencedatacloud.org.
- Weber, G.M., Mandl, K.D., and Kohane, I.S. (2014), “Finding the Missing Link for Big Biomedical Data,” Journal of the American Medical Association, 311, 2479–2480.
- Welter, D., MacArthur, J., Morales, J., Burdett, T., Hall, P., Junkins, H., Klemm, A., Flicek, P., Manolio, T., Hindorff, L., and Parkinson, H. (2014), “The NHGRI GWAS Catalog, a Curated Resource of SNP-trait Associations,” Nucleic Acids Research, 42, D1001–D1006.
- Young, S.S., and Karr, A. (2011), “Deming, Data and Observational Studies,” Significance, 8, 116–120.