The problems of genetics require statistical analysis. However, it is not enough to know how to conduct a statistical analysis to do a good job of solving genetic problems. A Primer of Statistical Genetics introduces statistical genetics with an emphasis on the basic concepts and principles unique to the genetics context. To bridge the novice to the more advanced books, the author also emphasizes the nature of the problems through real case studies, but not at the cost of statistical rigor, so readers will develop better comprehension and appreciation for how real problems are solved. The...

Novel Techniques for Analyzing and Combining Data from Modern Biological Studies
Broadens the Traditional Definition of Meta-Analysis

With the diversity of data and meta-data now available, there is increased interest in analyzing multiple studies beyond statistical approaches of formal meta-analysis. Covering an extensive range of quantitative information combination methods, Meta-analysis and Combining Information in Genetics and Genomics looks at how to analyze multiple studies from a broad perspective.

After presenting the basic ideas...