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A practical guide to big data

Author

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  • Smirnova, Ekaterina
  • Ivanescu, Andrada
  • Bai, Jiawei
  • Crainiceanu, Ciprian M.

Abstract

Big Data is increasingly prevalent in science and data analysis. We provide a short tutorial for adapting to these changes and making the necessary adjustments to the academic culture to keep Biostatistics truly impactful in scientific research.

Suggested Citation

  • Smirnova, Ekaterina & Ivanescu, Andrada & Bai, Jiawei & Crainiceanu, Ciprian M., 2018. "A practical guide to big data," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 25-29.
    • Handle: RePEc:eee:stapro:v:136:y:2018:i:c:p:25-29
    DOI: 10.1016/j.spl.2018.02.014
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    References listed on IDEAS

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    1. Gittelsohn, A.M., 1982. "On the distribution of underlying causes of death," American Journal of Public Health, American Public Health Association, vol. 72(2), pages 133-140.
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    Cited by:

    1. Reid, Nancy, 2018. "Statistical science in the world of big data," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 42-45.
    2. Shi, Jian Qing, 2018. "How do statisticians analyse big data—Our story," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 130-133.

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