Multivariate Geostatistics

Chapter 9, covering the comparison of proportions from several samples, has new sections on logit models for ordered outcomes and on the effect of randomness, in which Bayesian methods are discussed. Chapter 10, on combining evidence from fourfold tables, has new material on meta-analysis and largesparse data structures. Much of the remainder of the book is new. Chapter 11 explores logistic regression and includes polytomous logistic regression. Chapter 12 covers Poisson regression, including a discussion of overdispersion. Chapter 13, on the analysis of data from matched samples, was formerly Chapter 8 in the 2E. It is followed by a chapter on regression methods for matched samples, which includes parametric modeling and conditional logistic regression. Chapters 15 and 16 are also new. Chapter 15, “Analysis of Correlated Binary Data,” provides methods for longitudinal data, and Chapter 16, “Missing Data,” considers situations in which the data are incomplete. Chapters 17–19, on misclassiŽ cation, measurement of interrater agreement, and standardization of rates, are assembled from the last four chapters of the 2E. Each chapter contains some new material. Upgrading a book originally based on a desk calculator to a book that is appropriate for the modern computing environment obviously would be a challenge for any new authors. The authors have not attempted to complete the entire task. There is no direct application of statistical software, such as SAS or S-PLUS, in this book. Nevertheless, anyone who still uses the 2E would surely want a copy of this new edition. Likewise, persons who regularly encounter this type of data would certainly want this book available as one of their desktop references.