Generalized estimating equations (GEEs) are highlighted for their growing popularity across biometrical, econometrical, and psychometrical fields. They provide a flexible alternative to classical statistical assumptions like independence and normality, which can be overly restrictive for various complex problems. This adaptability makes GEEs a valuable tool for researchers and practitioners dealing with real-world data scenarios.
Covering the latest developments, this advanced textbook is the first to focus on introducing the relevant statistical methods applied in this field. Written by the prize-winning scientist Andreas Ziegler, President of the German Region of the International Biometric Society, and Inke König, who contributes more than five years of teaching experience, this is ideal for epidemiologists, geneticists, statistics specialists, biomathematicians, and graduate students. After providing a concise introduction to genetic fundamentals, the authors explain both linkage analysis and association analysis in detail. The textbook features more than 100 problems and solutions. With a foreword by Robert C. Elston, Director, Division of Genetic and Molecular Epidemiology at the Case Western Reserve University, Cleveland, Ohio.