| Stata : Books and Journals • A Gentle Introduction to Stata (2nd Edition) NEW ! • A Visual Guide to Stata Graphics (2nd Edition) NEW ! • An Introduction to Modern Econometrics Using Stata • An Introduction to Stata for Health Researchers (2nd Edition) NEW ! • An Introduction to Survival Analysis Using Stata (2nd Edition) NEW ! • Data Analysis Using Stata (2nd Edition) NEW ! • Generalized Linear Models and Extensions (2nd Edition) • L'essentiel de Stata (en français) • Maximum Likelihood Estimation with Stata • Multilevel Model-building : A pragmatic approach to regression analysis NEW ! • Multilevel and longitudinal Modeling Using Graphics (2nd Edition) • Regression Models for Categorical Dependent Variables using Stata • Sampling of Populations : Methods and Applications (4th Edition) • Stata par la pratique (en français) NEW ! • The Stata Journal • Thirty-three Stata Tips • Using stata for Principles of Econometrics (3rd Edition) NEW ! |
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A Gentle Introduction to Stata, 2nd Edition - NEW ! Alan C. Acock’s A Gentle Introduction to Stata is an ideal book for students and for those with experience with other software packages but new to Stata. For the reader who is just learning social statistics and has never used a statistics package before, Acock leads the way, first explaining how to use the Stata GUI, use dialog boxes, and load Stata datasets before moving on to statistical analysis. Users who are familiar with other statistical software will be able to move quickly through the book and become fluent in Stata with ease. Author : Alan C. Acock ISBN : 1-59718-043-2 | 333 pages Publisher : Stata Press Table of Contents |
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A Visual Guide to Stata Graphics, 2nd Edition (English) - NEW ! A Visual Guide to Stata Graphics , by Michael N. Mitchell, is a complete guide to Stata’s graph command and the associated Graph Editor. Whether you want to tame the Stata graph command, quickly find out how to produce a graphical effect, master the Stata Graph Editor, or learn approaches that can be used to construct custom graphs, this is the book to read. Author : Michael Mitchell ISBN : 1-59718-039-4 | 471 pages Publisher : Stata Press Table of Contents |
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An Introduction to Modern Econometrics Using Stata (English) An Introduction to Modern Econometrics Using Stata, by Christopher F. Baum, successfully bridges the gap between learning econometrics and learning how to use Stata. The book presents a contemporary approach to econometrics, emphasizing the role of method-of-moments estimators, hypothesis testing, and specification analysis while providing practical examples showing how the theory is applied to real datasets using Stata. Author : Christopher F. Baum |
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An Introduction to Stata for Health Researchers, 2nd Edition (English) - NEW ! An Introduction to Stata for Health Researchers, by Svend Juul,is distinguished in its careful attention to detail. The reader will learn not only how to use Stata but also the skills needed to create the reproducible analyses so necessary in the field. The book is based on the assumption that the reader has some basic knowledge of statistics but no knowledge of Stata. It builds the reader’s abilities as a builder would build a house, laying a firm foundation in Stata, framing a general structure in which good work can be accomplished, and finally filling in details that are particular to various types of statistical analysis. Author : Svend Juul |
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An Introduction to Survival Analysis Using Stata, 2nd Edition (English) - NEW ! An Introduction to Survival Analysis Using Stata, Second Edition is the ideal tutorial for professional data analysts who want to learn survival analysis for the first time or who are well versed in survival analysis but not as dexterous in using Stata to analyze survival data. This text also serves as a valuable reference to those who already have experience using Stata’s survival analysis routines. The second edition has been updated for Stata 10, containing a new chapter on power and sample-size calculations for survival studies and sections that describe how to fit regression models (stcox and streg) in the presence of complex survey data. Other enhancements include discussions about nonparametric estimation of mean/median survival, survival graphs with embedded at-risk tables, better hazard graphs through the use of boundary kernels, and concordance measures for assessing the predictive accuracy of the Cox model, as well as an expanded discussion of model building strategies including the use of fractional polynomials. Survival analysis is a field of its own requiring specialized data management and analysis procedures. Toward this end, Stata provides the st family of commands for organizing and summarizing survival data. The authors of this text are also the authors of Stata’s st commands.This book provides statistical theory, step-by-step procedures for analyzing survival data, an in-depth usage guide for Stata’s most widely used st commands, and a collection of tips for using Stata to analyze survival data and present the results. This book develops from first principles the statistical concepts unique to survival data and assumes only a knowledge of basic probability and statistics and a working knowledge of Stata.The first three chapters of the text cover basic theoretical concepts: hazard functions, cumulative hazard functions, and their interpretations; survivor functions; hazard models; and a comparison of nonparametric, semiparametric, and parametric methodologies. |
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Data Analysis Using Stata, 2n Edition (English) - NEW ! Updated to include changes to Stata over the past several years, Data Analysis Using Stata, Second Edition comprehensively introduces Stata and will be useful to those who are just learning statistics and Stata, as well as to users of other statistical packages who are making the switch to Stata. Throughout the book, Kohler and Kreuter show examples using data from the German Socioeconomic Panel, a large survey of households containing demographic, income, employment, and other key information. The authors describe the Graph Editor and time-of-day variables, two features added in Stata 10, in this new edition. Kohler and Kreuter’s book is a valuable introduction to Stata. The authors take a hands-on approach, leading you step by step through actual Stata sessions to answer practical questions commonly asked by social scientists. They begin with an introduction to the Stata interface and then proceed with a description of Stata syntax and simple programming tools like foreach loops. The core of the book includes chapters on producing tables and graphs, performing linear regression, and using logistic regression. Kohler and Kreuter use multiple examples to illustrate all key concepts. The rest of the book includes chapters on reading text files, writing programs and ado-files, and using Internet resources, such as the search command and the SSC archive. Author : Ulrich Kohler and Frauke Kreuter ISBN : 1-59718-007-6 | 388 pages Publisher : Stata Press Table of Contents
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Generalized Linear Models and Extensions, 2n Edition (English) Comment from the authors: Generalized Linear Models and Extensions is written for the active researcher as well as for the theoretical statistician. Our goal throughout has been to clarify the nature and scope of Generalized Linear Models (GLMs) and to demonstrate how all of the families, links, and variations of GLMs fit together in an understandable whole. We also wish to clearly show how extensions can be constructed from basic GLM algorithms for the purpose of better modeling given data situations. In a step-by-step manner, we detail the foundations of each major variety of GLM, and provide working algorithms that can be used by the reader to construct and better understand models they wish to develop. In a sense, we offer the reader a workbook or handbook of how to deal with data using GLM and GLM extensions. About the authors: James Hardin is a former Senior Statistician with StataCorp. He developed the xtgee command for fitting GLMs to panel data as well as developing many other commands (panel data and otherwise). He currently serves as a lecturer in the Department of Statistics where his focus is on developing technology to address distance education for the College of Science at Texas A&M University. Joseph Hilbe is the founding editor of the Stata Technical Bulletin and has authored a number of journal articles and book chapters related to the area of GLM. He has been the lead biostatistician for several national cardiovascular registries and was the lead consultant for HCFA's Medicare Infrastructure Project. He retired in 1990 from the University of Hawaii System, but currently serves as an adjunct professor at Arizona State University. Author : James W. Hardin, Joseph M. Hilbe ISBN : 978-1-59718-014-6 | 387 pages Publisher : Stata Press Table of Contents |
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L'essentiel de Stata (en Français) L'essentiel de Stata s'adresse principalement aux étudiants, chercheurs ou professionnels des sciences biologiques, économiques ou sociales. Il permet au lecteur de débuter rapidement avec Stata. Il explique d'abord la gestion des données, en particulier pour les fichiers hiérarchisés. Outre les tabulations complexes (croisant plus de trois variables), les différentes possibilités graphiques de Stata, en particulier les lissages de courbe, sont explicitées. Par ailleurs, ce manuel montre comment choisir parmi les nombreux modèles de régression proposés par Stata, à partir d'une méthode originale basée sur le type de variable dépendante. Ce manuel est agrémenté d'exercices et ponctué d'actuces pour une meilleure utlisation du logiciel. Author : Philippe Bocquier ISBN : 2-911502-04-3 | 200 pages Publisher : Ritme Informatique - Global Design Table of Contents |
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Maximum Likelihood Estimation with Stata (English) Maximum Likelihood Estimation with Stata, Third Edition, is written for researchers in all disciplines who need to fit models using the method of maximum likelihood. This edition offers a wealth of material about the ml command, updated to include new features introduced in STata 9. Noteworthy features in ml include:
In addition, the authors give advice for developing your own estimation command and illustrate how to write your estimation command so that it supports the new svy prefix introduced in Stata 9. |
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Multilevel Model-Bulding : A pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables (English) - NEW ! Selecting the appropriate model from among a large class of candidate models is a difficult process: one must balance the (sometimes contradictory) goals of model interpretability, parsimony, good prediction properties, robustness to minor variations in the data, and applicability to other data. This text presents a well-rounded, practical approach to model selection, with its bulk devoted to general variable selection through the use of stepwise procedures (or otherwise) and the selection of functional forms for continuous variables. Regarding the selection of functional forms, the authors pay much attention to fractional polynomials and splines, drawing on their vast research in these areas. In particular, those looking for a tutorial on the use of fractional polynomials will find this text very useful. The methods prescribed can be applied widely, yet the examples used are primarily from the health sciences, with the typically used models being logistic regression, Cox regression, and generalized linear models. Author : Patrick Royston and Willi Sauerbrei ISBN : 0-470-02842-4 | 322 pages Publisher : Wiley Table of Contents |
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Multilevel and Longitudinal Modeling Using Stata, 2nd Edition (English) Multilevel and Longitudinal Modeling Using Stata, Second Edition, by Sophia Rabe-Hesketh and Anders Skrondal, looks specifically at Stata’s treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are “mixed” because they allow fixed and random effects, and they are “generalized” because they are appropriate for continuous Gaussian responses as well as binary, count, and other types of limited dependent variables. The second edition has much to offer for readers of the first edition, reading more like a sequel than an update. The text has almost doubled in length from the original, coming in at 562 pages. This second edition incorporates three new chapters: a chapter on standard linear regression, a chapter on discrete-time survival analysis, and a chapter on longitudinal and panel data containing an expanded discussion of random-coefficient and growth-curve models. The authors have updated this edition for Stata 10, expanding on discussions in the original edition and adding new in-text examples and end-of-chapter exercises. In particular, the authors have thoroughly covered the new Stata commands xtmelogit and xtmepoisson. . |
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Regression Models for Categorical Dependent Variables using Stata (English) While regression models for categorical dependent variables are ubiquitous, a discussion of how to interpret these models has been sorely lacking. Regression Models for Categorical Dependent Variables Using Stata, Revised Edition fills this void. This book discusses how to fit and interpret regression models for categorical data with Stata and includes some commands written by the authors. Hypothesis testing and goodness-of-fit statistics are also discussed. The book begins with a lucid introduction to Stata and then provides a general treatment of estimation, testing, fit, and interpretation in this class of models. Binary outcomes, ordinal outcomes, nominal outcomes, and count outcomes are covered in detail in separate chapters. The final chapter discusses how to fit and interpret models with special characteristics such as ordinal and nominal independent variables, interaction, and nonlinear terms. One appendix discusses the syntax of the author-written commands, and a second gives details of the datasets used by the authors in the book. This book is filled with concrete examples. Because all the examples, datasets, and author-written commands are available from the authors at their web site, readers can easily replicate the examples using Stata. This book is ideal for students or applied researchers who want to know how to fit this type of model and understand its output. The revised edition uses the new Stata graphics system throughout the book. In addition, the revised edition discusses multiple missing-value codes and contains updated output throughout the text. Author : J. Scott Long, Jeremy Freese ISBN : 1-881228-82-7 | 368 pages Publisher : Stata Press Table of Contents |
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Sampling of Populations : Methods and Applications, 4th Edition The fourth edition of Sampling of Populations: Methods and Applications, by Paul S. Levy and Stanley Lemeshow, provides an excellent introduction to the methods of survey statistics while grounding the analysis in concise empirical applications. Because many of the examples use Stata, the book also serves as a good introduction to survey methods using Stata. In fact, many of the updates in this edition feature Stata's increasing capabilities in survey methods. The authors begin by discussing the reasons why sample surveys are used and some of the costs and benefits to different designs. One chapter introduces the basic concepts of populations, samples, sampling distribution, and some of the characteristics of population parameter estimates. The authors then take the reader on a tour of the major sampling designs: simple random sampling, systematic sampling, stratified random sampling, and cluster sampling. For each survey design, the authors derive estimators for standard population parameters. They illustrate formulas with empirical examples, many of which use Stata. The authors also present accessible treatments of ratio estimation, variance estimation, and several special topics, including nonresponse and missing data. The fourth edition also includes a new chapter on constructing survey weights for various designs and reweighting scenarios. |
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Stata par la pratique (Français) - NEW ! Cet ouvrage propose une parfaite introduction à l’utilisation de Stata rédigée en français. Des exemples clairs, proposés dans un langage accessible, accompagnent l’utilisateur à travers l’ensemble des fonctionnalités de Stata 10. L’ensemble des outils nécessaires au traitement des données est inclus : gestion des données, statistiques sommaires, essai et modélisation d’hypothèses, post-estimation, graphiques, et préparations des données pour publication. En outre, l’ouvrage propose une approche des fondamentaux de la programmation sous Stata et de la résolution des problèmes usuels utilisant des macros prédéfinies. L’ensemble des informations apportées par cet ouvrage permet de transformer tout nouvel utilisateur de Stata de débutant à chevronné ; cet apprentissage se fait facilement, grâce à la clarté de la présentation de l’ensemble de l’ouvrage. L’un des points forts de cet ouvrage est de présenter non seulement l’utilisation des commandes pré-programmées incluses dans Stata mais aussi d’illustrer l’usage de la programmation développée par l’utilisateur. Les exemples du livre ont principalement trait aux sciences sociales et économiques, mais la plupart des exemples présentent également un intérêt pour tout statisticien, quelle que soit sa spécialité. Le caractère didactique et exhaustif de cet ouvrage le rendent indispensable à tout utilisateur de Stata, du nouveau venu à l’utilisateur averti, de l’étudiant au chercheur spécialiste. Author : Eric Chuzac et christophe Bontemps ISBN : 978-1-59718-042-9 | 254 pages Publisher : Stata Press Table of Contents |
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The Stata Journal (English) The Stata Journal is a quarterly publication containing articles about statistics, data analysis, teaching methods, and effective use of Stata's language. The Journal publishes reviewed papers together with shorter notes and comments, regular columns, book reviews, and other material of interest to researchers applying statistics in a variety of disciplines. For more information, visit http://www.stata-journal.com |
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Thirty-three Stata Tips (English) Author : H. Joseph Newton and N. J. Cox |
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Using Stata for Principles of Econometrics, 3rd Edition (English) - NEW ! Using Stata for Principles of Econometrics, Third Edition, shows how to use Stata to reproduce examples from the main textbook and to interpret the output. The authors also provide important information needed to perform and understand econometric analyses. |
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