Document Type
Preprint
Publication Date
5-1-2018
Journal / Book Title
Statistics & Probability Letters
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.
DOI
10.1016/j.spl.2018.02.014
MSU Digital Commons Citation
Smirnova, Ekaterina; Ivanescu, Andrada; Bai, Jiawei; and Crainiceanu, Ciprian M., "A Practical Guide to Big Data" (2018). Department of Applied Mathematics and Statistics Faculty Scholarship and Creative Works. 4.
https://digitalcommons.montclair.edu/appliedmath-stats-facpubs/4
Rights
HHS Public Access Author manuscript; available in PMC 2019 May 01. Published in final edited form as: Stat Probab Lett. 2018 May ; 136: 25–29. doi:10.1016/j.spl.2018.02.014.