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Big data: Some statistical issues

Author

Listed:
  • Cox, D.R.
  • Kartsonaki, Christiana
  • Keogh, Ruth H.

Abstract

A broad review is given of the impact of big data on various aspects of investigation. There is some but not total emphasis on issues in epidemiological research.

Suggested Citation

  • Cox, D.R. & Kartsonaki, Christiana & Keogh, Ruth H., 2018. "Big data: Some statistical issues," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 111-115.
    • Handle: RePEc:eee:stapro:v:136:y:2018:i:c:p:111-115
    DOI: 10.1016/j.spl.2018.02.015
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    References listed on IDEAS

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    1. Haiqun Lin & Daniel O. Scharfstein & Robert A. Rosenheck, 2004. "Analysis of longitudinal data with irregular, outcome‐dependent follow‐up," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 66(3), pages 791-813, August.
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    Cited by:

    1. Olhede, Sofia C. & Wolfe, Patrick J., 2018. "The future of statistics and data science," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 46-50.
    2. Daniele Piovani & Stefanos Bonovas, 2022. "Real World—Big Data Analytics in Healthcare," IJERPH, MDPI, vol. 19(18), pages 1-3, September.
    3. Delmastro, Marco & Zollo, Fabiana, 2021. "Viewpoint: Social monitoring for food policy and research: Directions and implications," Food Policy, Elsevier, vol. 105(C).

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