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The Fundamentals of Modern Statistical Genetics (Statistics for Biology and Health) 2011th Edition
Purchase options and add-ons
- ISBN-101441973370
- ISBN-13978-1441973375
- Edition2011th
- PublisherSpringer
- Publication dateDecember 2, 2010
- LanguageEnglish
- Dimensions6.25 x 0.75 x 9.25 inches
- Print length240 pages
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Editorial Reviews
Review
From the reviews:
“The book covers the historical perspective, covering the standard models and methods. … The presentation of the material is carefully thought through. There are lots of figures, many in colour, a large number of examples, numerous boxes that highlight particular derivations and computations, and exercises at the ends of the chapters. All topics are clearly discussed with due detail. I would say that, for the budding statistical geneticist, this is a must-have.” (Martin Crowder, International Statistical Review, Vol. 79 (3), 2011)
“A book that focuses on statistical methods for finding links between genes and diseases … is timely. … the authors steer us gently and diligently through material that was developed originally for postgraduate students at the Harvard School of Public Health … . ideal for a statistician intending to research in this area or simply for a curious, sufficiently qualified reader. … a lovely book, and essential reading if you are a budding GWASer, or simply interested in where your next disease will come from.” (G. Wood, Australian & New Zealand Journal of Statistics, Vol. 53 (4), 2011)
“The Fundamentals of Modern Statistical Genetics, by Dr. Nan M. Laird and Dr. Christoph Lange, is a timely reference for both researchers and students. … the book is clearly written, and it is useful for colleagues who are interested in the association analysis. Although the book primarily covers the interesting topic of association analysis, it does touch other interesting topics such as joint linkage and association mapping of complex traits.” (Ruzong Fan, Journal of the American Statistical Association, March, 2013)
From the Back Cover
About the Author
Dr. Lange is an Associate Professor in the Biostatistics Department at the Harvard School of Public Health. After his PhD in Statistics at the University of Reading (UK), he has worked extensively in the field of statistical genetics. Dr. Lange has been the director of the Institute of Genome Mathematics at the University of Bonn and has received several awards in mathematics and genetics. Dr. Lange is the developer of the PBAT package.
Product details
- Publisher : Springer; 2011th edition (December 2, 2010)
- Language : English
- Hardcover : 240 pages
- ISBN-10 : 1441973370
- ISBN-13 : 978-1441973375
- Item Weight : 1.05 pounds
- Dimensions : 6.25 x 0.75 x 9.25 inches
- Best Sellers Rank: #2,917,668 in Books (See Top 100 in Books)
- #201 in Biostatistics (Books)
- #250 in Genetics (Books)
- #363 in Epidemiology (Books)
- Customer Reviews:
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Unfortunately, it is sloppy and full of errors. It targets a person with a pretty high level of previous statistics knowledge, but even so, inconsistencies in notation are sufficiently ubiquitous that it makes the presentation and derivations hard to follow. Ambiguous symbols are everywhere. Clear errors abound as well; data quoted in case studies change from table to table (compare Table 3.1 and Box 3.5), and some statements fail very basic consistency checks (note Figure 4.1, which shows dominant and recessive recurrence risk ratios having identical scaling on a log-log plot while the preceding derivation shows the ratios having different scaling). After reading about 30% of the book, I began the search for a better text.
The book resembles the LaTeX rough drafts that grad students sometimes hand me; the problem is that in this relationship, I am the student, and I'm not even allowed to ask questions and push the authors to fix them.