Generalized Estimating Equations, Second Edition updates the best-selling previous edition, which has been the standard text on the subject since it was published a decade ago. Combining theory and application, the text provides readers with a comprehensive discussion of GEE and related models. Numerous examples are employed throughout the text, along with the software code used to create, run, and evaluate the models being examined. Stata is used as the primary software for running and displaying modeling output; associated R code is also given to allow R users to replicate Stata examples. Specific examples of SAS usage are provided in the final chapter as well as on the book s website.

This second edition incorporates comments and suggestions from a variety of sources, including the Statistics.com course on longitudinal and panel models taught by the authors. Other enhancements include an examination of GEE marginal effects; a more thorough presentation of hypothesis testing and diagnostics, covering competing hierarchical models; and a more detailed examination of previously discussed subjects.

Along with doubling the number of end-of-chapter exercises, this edition expands discussion of various models associated with GEE, such as penalized GEE, cumulative and multinomial GEE, survey GEE, and quasi-least squares regression. It also offers a thoroughly new presentation of model selection procedures, including the introduction of an extension to the QIC measure that is applicable for choosing among working correlation structures.

See Professor Hilbe discuss the book."

This volume focuses on the reconstruction of household organization during the Iron II period at Tell Halif. It centers in particular on one four-room, pillared-type building located in Area F7 of Field IV and on its remains, which were sealed in a massive destruction that eclipsed the site in the late eighth century B.C.E. This study was first prepared as a Ph.D. dissertation for the Department of Near Eastern Studies at the University of Arizona (Hardin 2001) and has since been amplified and embellished by further research. Published here are the results of research deliberately designed by the author to provide for more complete recovery and detailed recording in the field of all artifacts and other remains within a special refined three-dimensional grid matrix. These data in turn established a framework for studying the formation processes active on the materials and for conducting a spatial analysis of the assemblages in the building. Along with developing ethnographic and ethnoarchaeological inferences, these techniques are used to identify activities, activity areas, and social organization related to the building, ultimately defining an "archaeological household" consisting of the pillared dwelling and its occupants. Finally, these conclusions are also related to reconstructions of the Iron II-period household suggested by Hebrew Bible sources.

In 1912, R. A. S. Macalister published reports on his PEF excavations at Tell Gezer in central Israel, including notice of having traced more than 1,400 meters (almost a full mile) of defense walls around the site. Now, a century later, a detailed reassessment of these fortifications is provided in the publication of Gezer VII: The Middle Bronze and Later Fortifications in Fields II, IV, and VIII, edited by Joe D. Seger and James W. Hardin. This volume features work at Gezer sponsored by Hebrew Union College and Harvard University between 1968 and 1974, reporting on excavations at Macalister’s “Southern Gate” (Field IV) and along his “Inner” and “Outer” wall systems both on the southern (Field II) and northern (Field VIII) flanks of the site. These excavations produced much new data, enabling a confident dating of the Southern Gate complex and the Inner Wall system to the latter part of the Middle Bronze period (1700–1500 B.C.E.) and of the Outer Wall to the Late Bronze II and subsequent Hellenistic eras. Among a rich array of cultural remains, intramural occupation of the Middle Bronze Age yielded a gold jewelry hoard and early evidence of alphabetic writing.

Generalized linear models (GLMs) extend linear regression to models with a non-Gaussian, or even discrete, response. GLM theory is predicated on the exponential family of distributions-a class so rich that it includes the commonly used logit, probit, and Poisson models. Although one can fit these models in Stata by using specialized commands (for example, logit for logit models), fitting them as GLMs with Stata's glm command offers some advantages. For example, model diagnostics may be calculated and interpreted similarly regardless of the assumed distribution. This text thoroughly covers GLMs, both theoretically and computationally, with an emphasis on Stata. The theory consists of showing how the various GLMs are special cases of the exponential family, showing general properties of this family of distributions, and showing the derivation of maximum likelihood (ML) estimators and standard errors. Hardin and Hilbe show how iteratively reweighted least squares, another method of parameter estimation, are a consequence of ML estimation using Fisher scoring.