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Statistical programming: Small mistakes, big impacts
Author(s) -
Schwab Simon,
Held Leonhard
Publication year - 2021
Publication title -
significance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 21
eISSN - 1740-9713
pISSN - 1740-9705
DOI - 10.1111/1740-9713.01522
Subject(s) - exploit , computer science , coding (social sciences) , data science , statistical analysis , operations research , statistics , computer security , mathematics
Coding mistakes can lead to false results. Statisticians and data scientists should exploit best practices and tools in statistical programming to enhance reproducible analyses. By Simon Schwab and Leonhard Held