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Big Data has a Big Role in Biostatistics with Big Challenges and Big Expectations

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  • Sergio Davalos

    (Center for Business Analytics, University of Washington, USA)

Abstract

Big data has now gone beyond a conceptual construct to a viable working approach for addressing and making use of huge volumes of data. The expectations of big data applications and outcomes in healthcare such as: a 20% decrease in patient mortality, better information regarding patient health and symptoms, reducing readmission, better point of care decision making, integration of smart devices and sensors with data bases, everyday genome sequencing, developing a treatment approach for cancer, and assessing the risk of readmission [1-3].

Suggested Citation

  • Sergio Davalos, 2017. "Big Data has a Big Role in Biostatistics with Big Challenges and Big Expectations," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 1(3), pages 63-64, May.
    • Handle: RePEc:adp:jbboaj:v:1:y:2017:i:3:p:63-64
    DOI: 10.19080/BBOAJ.2017.01.555563
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    Cited by:

    1. Jan Pablo Burgard & Joscha Krause & Dennis Kreber & Domingo Morales, 2021. "The generalized equivalence of regularization and min–max robustification in linear mixed models," Statistical Papers, Springer, vol. 62(6), pages 2857-2883, December.

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