Ten simple rules for writing statistical book reviews

dc.contributor.authorLortie, Christopher
dc.date.accessioned2020-03-18T18:43:43Z
dc.date.available2020-03-18T18:43:43Z
dc.date.issued2019-01-24
dc.description.abstractStatistical 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.en_US
dc.description.sponsorshipYork University Librariesen_US
dc.identifier.citationPLoS Computational Biology 15.1 (2019): e1006562.en_US
dc.identifier.urihttps://doi.org/10.1371/journal.pcbi.1006562en_US
dc.identifier.urihttps://hdl.handle.net/10315/37149
dc.language.isoenen_US
dc.publisherPLOSen_US
dc.rightsAttribution 2.5 Canada*
dc.rights.articlehttps://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006562en_US
dc.rights.journalhttps://journals.plos.org/ploscompbiol/en_US
dc.rights.publisherhttps://plos.org/en_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/ca/*
dc.titleTen simple rules for writing statistical book reviewsen_US
dc.typeArticleen_US

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