PSI ToxSIG Webinar: Beyond the looking glass - Interpreting animal welfare & behaviour by monitoring & assessing mice activity data
Analysing continuously collected locomotive activity data to interpret mice welfare and behaviour.
Any reader of Pharmaceutical Statistics may offer to review the books listed below, or other new books that they think would be suitable. You may already be familiar with the material and wish to provide a summary and advice useful for other readers of the journal, or you may be interested in the material and would like to look at it with the production of a review as impetus. I aim to publish reviews of any new books, or substantially new editions, on medical and pharmaceutical statistics; this includes those aimed at statisticians, and those intended to inform scientists about statistics. In addition, I will accept reviews of appropriate books on general statistical topics. The reviewer will be able to keep the book, as long as they complete the review in a reasonable time. Please contact me by email (feng.2.liu at the domain gsk.com) to offer to review a book, to suggest someone else who might be interested in reviewing a book, or to suggest further books that should be reviewed.
For a single book, I suggest aiming for 500 to 1000 words. I also encourage comparative reviews of books on a common topic, and these are likely to be longer. On the other hand, reviews of new editions of books may be shorter, concentrating on whatever additional material has been published. However, the content is more important than the length. I would like to see the coverage of each book described sufficiently so that people are clear what they will find in it, and the level or intended audience made clear. Most important for Pharmaceutical Statistics is to have an opinion on the book with regards to its relevance for practical statisticians in the pharmaceutical industry.
The journal covers new and revised publications in the medical and pharmaceutical application of Statistics. The following titles are available for review, but we welcome offers to review any suitable books.
Please contact me if you would like to review any of the books listed here, or suggest other suitable titles for review; my email address is feng.2.liu at the domain gsk.com.
Feng Liu, Book Review Editor, Pharmaceutical Statistics