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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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Detalles Bibliográficos
Autor principal: Lortie, Christopher J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6345428/
https://www.ncbi.nlm.nih.gov/pubmed/30677035
http://dx.doi.org/10.1371/journal.pcbi.1006562
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author Lortie, Christopher J.
author_facet Lortie, Christopher J.
author_sort Lortie, Christopher J.
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description 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.
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spelling pubmed-63454282019-02-02 Ten simple rules for writing statistical book reviews Lortie, Christopher J. PLoS Comput Biol Editorial 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. Public Library of Science 2019-01-24 /pmc/articles/PMC6345428/ /pubmed/30677035 http://dx.doi.org/10.1371/journal.pcbi.1006562 Text en © 2019 Christopher J. Lortie http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Editorial
Lortie, Christopher J.
Ten simple rules for writing statistical book reviews
title Ten simple rules for writing statistical book reviews
title_full Ten simple rules for writing statistical book reviews
title_fullStr Ten simple rules for writing statistical book reviews
title_full_unstemmed Ten simple rules for writing statistical book reviews
title_short Ten simple rules for writing statistical book reviews
title_sort ten simple rules for writing statistical book reviews
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6345428/
https://www.ncbi.nlm.nih.gov/pubmed/30677035
http://dx.doi.org/10.1371/journal.pcbi.1006562
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