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Ten simple rules for getting started with statistics in graduate school.

Authors :
Zitomer, Rachel A.
Karr, Jessica
Kerstens, Mark
Perry, Lindsey
Ruth, Kayla
Adrean, Lindsay
Austin, Suzanne
Cornelius, Jamie
Dachenhaus, Jonathan
Dinkins, Jonathan
Harrington, Alan
Kim, Hankyu
Owens, Terrah
Revekant, Claire
Schroeder, Vanessa
Sink, Chelsea
Valente, Jonathon J.
Woodis, Ethan
Rivers, James W.
Source :
PLoS Computational Biology; 4/21/2022, Vol. 18 Issue 4, p1-9, 9p
Publication Year :
2022

Abstract

Ten simple rules for tackling your first mathematical models: A guide for graduate students by graduate students. Graduate school is often a time of enormous professional growth, and for many students, it is the first time they receive advanced training in statistics. Regardless of whether one uses R or another programming language (e.g., SAS, Python), the work that new graduate students put into learning programming early in graduate school will pay dividends later as they move beyond graduate school and into the next phase of their career. [Extracted from the article]

Details

Language :
English
ISSN :
1553734X
Volume :
18
Issue :
4
Database :
Complementary Index
Journal :
PLoS Computational Biology
Publication Type :
Academic Journal
Accession number :
156412907
Full Text :
https://doi.org/10.1371/journal.pcbi.1010033