Ten simple rules for writing statistical book reviews

Statistical books can provide deep insights into statistics and software. There are, however, many resources available to the practitioner. Book reviews have the capacity to function as a critical mechanism for the learner to assess the merits of engaging in part, in full, or at all with a book. The...

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Bibliographic Details
Published in:PLoS Computational Biology 2019-01, Vol.15 (1), p.e1006562-e1006562
Main Author: Lortie, Christopher J
Format: Article
Language:English
Subjects:
Biology and Life Sciences
Computation
Computational biology
Computational Biology - education
Computational Biology - organization & administration
Computer and Information Sciences
Computer applications
Education
Engineering and Technology
Humans
Internet resources
Learning
Literature reviews
Methods
Niches
Pedagogy
Reading
Reviews
Social Sciences
Statistics
Statistics as Topic - education
Teaching
Writing
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Summary:Statistical books can provide deep insights into statistics and software. There are, however, many resources available to the practitioner. Book reviews have the capacity to function as a critical mechanism for the learner to assess the merits of engaging in part, in full, or at all with a book. The "ten simple rules" format, pioneered in computational biology, was applied here to writing effective book reviews for statistics because of the wide breadth of offerings in this domain, including topical introductions, computational solutions, and theory. Learning by doing is a popular paradigm in statistics and computation, but there is still a niche for books in the pedagogy of self-taught and instruction-based learning. Primarily, these rules ensure that book reviews function as a form of short syntheses to inform and guide readers in deciding to use a specific book relative to other options for resolving statistical challenges.
ISSN:1553-7358
1553-734X
1553-7358
DOI:10.1371/journal.pcbi.1006562