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. ..

strong Generalized Estimating Equations, Second Edition strong 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 fina ..

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 recordin ..