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Discovering Structural Equation Modeling Using Stata, by Alan Acock, successfully introduces both the statistical principles involved in structural equation modeling (SEM) and the use of Stata to fit these models.

Multiple Imputation and its Application, by James R. Carpenter and Michael G. Kenward, provides an excellent review of multiple imputation (MI) from basic to advanced concepts. This book describes the rationale for MI and its underlying assumptions in a broad range of statistical settings, and demonstrates the use of this procedure for handling missing data in complex data structures.

Aplicaciones en Economía y Ciencias Sociales con Stata, edited by Alfonso Mendoza Velázquez, is the first publication in Spanish produced by Stata Press. The content is the result of a selection of individual works by a diverse group of authors in different areas of knowledge who illustrate the use of a variety of tools available in Stata.

Introduction to Time Series Using Stata, by Sean Becketti, provides a practical guide to working with time-series data using Stata and will appeal to a broad range of users. The many examples, concise explanations that focus on intuition, and useful ti ps based on the author’s decades of experience using time-series methods make the book insightful not just for academic users but also for practitioners in industry and government.

Generalized Estimating Equations, Second Edition, by James W. Hardin and Joseph M. Hilbe, is heavy in mathematical and computational detail, but the mathematics is balanced by an array of real-world datasets and analyses. Thus the text should appeal to a wide audience, from the mathematical statistician wishing to glean the current state o f the GEE literature to the professional researcher needing to fit a GEE model to solve a particular problem.