Modelling Binary Data, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) [Paperback]

David Collett (Author)

Book Description

Publication Date: September 25, 2002 | ISBN-10: 1584883243 | ISBN-13: 978-1584883241 | Edition: 2

Since the original publication of the bestselling Modelling Binary Data, a number of important methodological and computational developments have emerged, accompanied by the steady growth of statistical computing. Mixed models for binary data analysis and procedures that lead to an exact version of logistic regression form valuable additions to the statistician's toolbox, and author Dave Collett has fully updated his popular treatise to incorporate these important advances.

Modelling Binary Data, Second Edition now provides an even more comprehensive and practical guide to statistical methods for analyzing binary data. Along with thorough revisions to the original material-now independent of any particular software package- it includes a new chapter introducing mixed models for binary data analysis and another on exact methods for modelling binary data. The author has also added material on modelling ordered categorical data and provides a summary of the leading software packages.

All of the data sets used in the book are available for download from the Internet, and the appendices include additional data sets useful as exercises.

Product Details

• Paperback: 408 pages
• Publisher: Chapman and Hall/CRC; 2 edition (September 25, 2002)
• Language: English
• ISBN-10: 1584883243
• ISBN-13: 978-1584883241
• Product Dimensions: 9.4 x 6.1 x 0.8 inches
• Shipping Weight: 1.3 pounds (View shipping rates and policies)
• Average Customer Review: 4.5 out of 5 stars  See all reviews (4 customer reviews)
• Amazon Best Sellers Rank: #927,525 in Books (See Top 100 in Books)

More About the Author

Discover books, learn about writers, read author blogs, and more.

Customer Reviews

Most Helpful Customer Reviews

5 of 5 people found the following review helpful:

5.0 out of 5 stars Excellent Intermediate Level, June 23, 2003

By 

Julio C. Cerono (BALCARCE, BUENOS AIRES Argentina) - See all my reviews
(REAL NAME)   

This review is from: Modelling Binary Data, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) (Paperback)

Probably the best in its class, Dr. Collet's work is among those books that contain a great deal of information and clarity. It deals with model building with binary data. A vey good explanation on the rationale behind maximum likelihood aproach to parameter estimation, it also shows the application of the asimptotic properties of the most commonnly used models for cross tabulated data.
I hold a Ph.D. in agronomy and plant breeding, and this volume certainly gave me a good start for analyzing binary responses. Lots of examples help in understanding the theory. A 5 stars without any doubt.

6 of 7 people found the following review helpful:

5.0 out of 5 stars an excellent self-learning guide to modelling binary models, May 13, 1999

By A Customer

This review is from: Modelling Binary Data, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) (Paperback)

This is an excellent volume on how one should tackle binary data. Whether you have previous experience on this type of data or not, one can learn a lot on the subject with this book.

It was written in an easily understood way so that one can really follow the examples and have a real go at one's own data while consulting the book.

As a former student of Prof. Collett I recall how clear his presentation as well as lecture notes had always been on even the most complicated subject he taught. I treaure this volume very much.

1 of 1 people found the following review helpful:

5.0 out of 5 stars Outstanding Binary Modeling Text, September 20, 2007

By 

Wanderer (Who cares where I live?) - See all my reviews

Amazon Verified Purchase

This review is from: Modelling Binary Data, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) (Paperback)

This text is perhaps one of the best for what it aims to do. There is so much here for the applied statistician / modeler that you can't help but pick up something new.

The treatment on graphical analysis of logistic regression residuals is extremely well done and very well presented. I have yet to find a better treatment that collects the constructed, added variable and partial residual plots (among other techniques) and ties them together in a single chapter.

Again, there is a -lot- of information here for practicing modelers to pour through. Definitely give this one a look, read the excerpts and judge for yourself. I have no complaints and love this book. My only regret is that I didn't get it sooner.