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PHARMACEUTICAL STATISTICS Pharmaceut. Statist. 2003; 2: 229–233 (DOI:10.1002/pst.072) Book Reviews This section of the journal is designed to inform you about books that have been published recently in the area of pharmaceutical statistics. We aim to provide reviews of books that are specifically about the theory and application of statistics in the pharmaceutical sector, though we will accept reviews of statistical books that are relevant to a wider audience. We will cover new books or substantially new editions, and will include both those aimed at statisticians and those intended to inform scientists about Statistics. As an example of the latter, in this issue is a review of a book with the same name as the journal, which we certainly could not resist! Any reader of Pharmaceutical Statistics may offer to review any suitable book. This may be either because they are already familiar with the material and wish to provide a summary and advice useful for other readers, or because they are interested in the material and would like to look at it with the production of a review as impetus. The reviewer will be able to keep the book, as long as they complete the review in a reasonable time. Please contact Peter Lane (at [email protected]) 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. You can find a list of books already suggested for review on the PSI website at http://www.psiweb.org/resources/ resources.asp?parentfolderid=252&subgroup id=4 and this in- cludes information about the current status of reviews. This list is updated approximately monthly, and is published quarterly in SPIN, the newsletter of the PSI. For a single book, we suggest aiming for 500 to 1000 words. However, the content is more important than the length. We would like to see the coverage of the book described sufficiently so that people are clear what they will find in it, and the level or intended audience made clear. We particularly want your opinion on the relevance, clarity and presentation of the material in the book. We are happy to consider a combined review of two or more related books – as for the four books on Six Sigma reviewed in the first issue of Vol. 1 – or a comparative review of books on the same subject. Peter Lane Statistical Methods for the Analysis of Repeated Measurements Davis CS (2002) ISBN 0387953701; 415 pages; £59.50, h84.95, $79.95 Springer; http://www.springer.de/cgi/svcat/search book.pl?isbn= 0387953701 This book provides a comprehensive introduction to a wide variety of statistical methods for the analysis of repeated measurements. It is aimed primarily as a textbook based on a number of semester-length graduate and short courses that the author has been running since 1991. As such, the general style of presenting the theory on a new topic with subsequent worked examples and homework questions at the end of each chapter works well. The examples and exercises are based on 80 data sets from real applications which are available from the publisher’s website. For the average practising pharmaceutical statistician I felt that there was generally too much theory with limited discussion of practical issues compared to other books on longitudinal data analysis. I agree with the author’s recommendation that a background in mathematical statistics, regression and ANOVA would be useful, along with knowledge of generalized linear models (GLMs). Although the focus of the book is on methods that can be implemented in standard software packages and not on current research areas, the author chose not to include program code or analysis output, presenting only key results throughout the examples. The availability of the data sets and course material, which includes some SAS code and output on the website, will be beneficial, with a bit of additional effort, to those with sufficient time to work through some of the examples and exercises. The coverage of various classical and newer methods for continuous and categorical outcome variables in one book was a major strength. As a source for further reading, the discussion on alternatives and extensions to the main approaches was valuable. Also, the common theme of discussing the rationale Copyright # 2003 John Wiley & Sons, Ltd. BOOK REVIEWS

Book Reviews

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Page 1: Book Reviews

PHARMACEUTICAL STATISTICS

Pharmaceut. Statist. 2003; 2: 229–233 (DOI:10.1002/pst.072)

Book Reviews

This section of the journal is designed to inform you about

books that have been published recently in the area of

pharmaceutical statistics. We aim to provide reviews of books

that are specifically about the theory and application of

statistics in the pharmaceutical sector, though we will accept

reviews of statistical books that are relevant to a wider

audience. We will cover new books or substantially new

editions, and will include both those aimed at statisticians and

those intended to inform scientists about Statistics. As an

example of the latter, in this issue is a review of a book with the

same name as the journal, which we certainly could not resist!

Any reader of Pharmaceutical Statistics may offer to review

any suitable book. This may be either because they are already

familiar with the material and wish to provide a summary and

advice useful for other readers, or because they are interested in

the material and would like to look at it with the production of

a review as impetus. The reviewer will be able to keep the book,

as long as they complete the review in a reasonable time. Please

contact Peter Lane (at [email protected]) 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. You can find a list of books already suggested for

review on the PSI website at http://www.psiweb.org/resources/

resources.asp?parentfolderid=252&subgroup id=4 and this in-

cludes information about the current status of reviews. This list

is updated approximately monthly, and is published quarterly

in SPIN, the newsletter of the PSI.

For a single book, we suggest aiming for 500 to 1000 words.

However, the content is more important than the length. We

would like to see the coverage of the book described sufficiently

so that people are clear what they will find in it, and the level or

intended audience made clear. We particularly want your

opinion on the relevance, clarity and presentation of the

material in the book. We are happy to consider a combined

review of two or more related books – as for the four books on

Six Sigma reviewed in the first issue of Vol. 1 – or a comparative

review of books on the same subject.

Peter Lane

Statistical Methods for the Analysis of Repeated Measurements

Davis CS (2002)

ISBN 0387953701; 415 pages; £59.50, h84.95, $79.95

Springer; http://www.springer.de/cgi/svcat/search book.pl?isbn=

0387953701

This book provides a comprehensive introduction to a wide

variety of statistical methods for the analysis of repeated

measurements. It is aimed primarily as a textbook based on a

number of semester-length graduate and short courses that the

author has been running since 1991. As such, the general style

of presenting the theory on a new topic with subsequent worked

examples and homework questions at the end of each chapter

works well. The examples and exercises are based on 80 data

sets from real applications which are available from the

publisher’s website. For the average practising pharmaceutical

statistician I felt that there was generally too much theory with

limited discussion of practical issues compared to other books

on longitudinal data analysis.

I agree with the author’s recommendation that a background

in mathematical statistics, regression and ANOVA would be

useful, along with knowledge of generalized linear models

(GLMs).

Although the focus of the book is on methods that can be

implemented in standard software packages and not on current

research areas, the author chose not to include program code or

analysis output, presenting only key results throughout the

examples. The availability of the data sets and course material,

which includes some SAS code and output on the website, will

be beneficial, with a bit of additional effort, to those with

sufficient time to work through some of the examples and

exercises.

The coverage of various classical and newer methods for

continuous and categorical outcome variables in one book was

a major strength. As a source for further reading, the discussion

on alternatives and extensions to the main approaches was

valuable. Also, the common theme of discussing the rationale

Copyright # 2003 John Wiley & Sons, Ltd.

BOOK REVIEWS