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Big data: Some statistical issues
D R Cox1, Christiana Kartsonaki2, Ruth H Keogh3
1Nuffield College, Oxford OX1 1NF, UK.
Statistics & Probability Letters
|June 15, 2018
Summary
Big data significantly impacts scientific investigation, particularly in epidemiological research. This review explores its broad influence on research methodologies and outcomes.
Area of Science:
- Data Science
- Epidemiology
- Research Methodology
Background:
- The increasing volume and complexity of data present new opportunities and challenges in scientific research.
- Big data analytics are transforming how scientific questions are investigated across disciplines.
Purpose of the Study:
- To provide a comprehensive overview of big data's impact on scientific investigation.
- To highlight specific considerations for big data in epidemiological research.
Main Methods:
- Literature review of big data applications in research.
- Analysis of trends and challenges in data-driven scientific inquiry.
Main Results:
- Big data offers enhanced capabilities for data analysis, pattern recognition, and predictive modeling.
- Specific applications and challenges of big data in epidemiology are discussed.
Conclusions:
- Big data is a transformative force in modern scientific investigation.
- Further research is needed to fully leverage big data's potential in epidemiology.
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