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A Visual Guide to Stata Graphics (English), 2nd Edition
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.
Auteur : Michael Mitchell
Editeur : Stata Press
ISBN : 978-1-59718-039-9 | 471 pages
Prix : 69 €HT
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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.
Auteur : Christopher F. Baum
Editeur : Stata Press
ISBN : 978-1-59718-013-9 / 341 pages
Prix : 69 €HT
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An Introduction to Stata for Health Researchers (English), 2nd Edition
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.
Auteur : Svend Juul
Editeur : Stata Press
ISBN : 978-1-59718-044-3 / 361 Pages
Prix : 59 €HT
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An Introduction to Survival Analysis Using Stata (English), 2nd Edition
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.
Chapter 4 deals with censoring and truncation. The next three chapters cover the formatting, manipulation, stsetting, and error checking involved in preparing survival data for analysis using Stata’s st analysis commands. Chapter 8 covers nonparametric methods, including the Kaplan–Meier and Nelson–Aalen estimators, and the various nonparametric tests for the equality of survival experience.
Chapters 9–11 discuss Cox regression and include various examples of fitting a Cox model, obtaining predictions, interpreting results, building models, and model diagnostics. The next four chapters cover parametric models, which are fit using Stata’s streg command. These chapters include detailed derivations of all six parametric models currently supported in Stata and methods for determining which model is appropriate, as well as information on obtaining predictions, stratification, and advanced topics such as frailty models. The final chapter is devoted to power and sample-size calculations for survival studies.
Auteur : Mario Cleves, William W. Gould, Roberto Gutierrez and Yulia Marchenko
Editeur : Stata Press
ISBN : 978-1-59718-041-2 | 372 pages
Prix : 69 €HT
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Data Analysis Using Stata (English), 2nd Edition
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.
Auteur : Ulrich Kohler and Frauke Kreuter
Editeur : Stata Press
ISBN : 978-1-59718-046-7 | 388 pages
Prix : 59 €HT
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Generalized Linear Models and Extensions (English), 2n Edition
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.
Auteur : James W. Hardin, Joseph M. Hilbe
Editeur : Stata Press
ISBN : 978-1-59718-014-6 | 387 pages
Prix : 69 €HT
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Maximum Likelihood Estimation with Stata (English), 3rd Edition
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:
- constraints() - linear constraints
- technique() - four optimization algorithms (Newton-Raphson, DFP, BFGS, and BHHH)
- vce(oim) - observed information matrix variance estimator
- vce(opg) - outer product of gradients variance estimator
- vce(robust) - Huber/White/sandwich/robust variance estimator
- svy - complete and automatic support for survey data anlysis
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.
In the final chapter, the authors illustrate the major steps required to get from log-likelihood function to fully operational estimation command. This is done using several different models: logit and probit, linear regression, Weibull regression, the Cox proportional hazards model, random-effects regression, and seemingly unrelated regression.
Auteur : William Gould, Jeffrey Pitlabo, William Sribney
Editeur : Stata Press
ISBN : 978-1-59718-012-2 | 290 pages
Prix : 49 €HT
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Meta-Analysis in Stata: An Updated Collection from the Stata Journal (English), 2nd Edition
Meta-Analysis in Stata: An Updated Collection from the Stata Journal, edited by Jonathan Sterne, gathers all the Stata Journal articles about meta-analysis into one place. Meta-analysis in Stata is an odd bird: it is one of Stata’s strengths, yet all the commands to implement it are user-written. Having nowhere to look in the Stata documentation made it tedious for those interested in meta-analysis to gather the requisite packages and documentation. Well, no more! With this meta-analysis collection, researchers can find what they need quickly and efficiently.
The structure of the collection is simple: it splits the topics by complexity, starting with meta-analysis and meta-regression, then looking at both graphical and analytic tools for detecting bias, and finally moving on to recent advanced topics such as meta-analysis for dose–response curves, diagnostic accuracy, multivariate analyses, and studies containing missing values. The collection touches on both common and complex methods for conducting a meta-analysis, including implementations of contemporary advances that will help keep the reader up to date
Anyone interested in performing a meta-analysis in Stata would benefit from this collection.
Auteur : Jonathan A. C. Sterne
Editeur : Stata Press
ISBN-13 : 978-1-59718-049-8 | 259 pages
Prix : 49 €HT
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Microeconometrics Using Stata (English), Revised Edition - NEW !
Microeconometrics Using Stata, Revised Edition, by A. Colin Cameron and Pravin K. Trivedi, is an outstanding introduction to microeconometrics and how to do microeconometric research using Stata. Aimed at students and researchers, this book covers topics left out of microeconometrics textbooks and omitted from basic introductions to Stata. Cameron and Trivedi provide the most complete and up-to-date survey of microeconometric methods available in Stata.
The revised edition has been updated to reflect the new features available in Stata 11 that are germane to microeconomists. Instead of using mfx and the user-written margeff commands, the revised edition uses the new margins command, emphasizing both marginal effects at the means and average marginal effects. Factor variables, which allow you to specify indicator variables and interaction effects, replace the xi command. The new gmm command for generalized method of moments and nonlinear instrumental-variables estimation is presented, along with several examples. Finally, the chapter on maximum likelihood estimation incorporates the enhancements made to ml in Stata 11.
Early in the book, Cameron and Trivedi introduce simulation methods and then use them to illustrate features of the estimators and tests described in the rest of the book. While simulation methods are important tools for econometricians, they are not covered in standard textbooks. By introducing simulation methods, the authors arm students and researchers with techniques they can use in future work. Cameron and Trivedi address each topic with an in-depth Stata example, and they reference their 2005 textbook, Microeconometrics: Methods and Applications, where appropriate.
The authors also show how to use Stata’s programming features to implement methods for which Stata does not have a specific command. Although the book is not specifically about Stata programming, it does show how to solve many programming problems. These techniques are essential in applied microeconometrics because there will always be new, specialized methods beyond what has already been incorporated into a software package.
Cameron and Trivedi’s choice of topics perfectly reflects the current practice of modern microeconometrics. After introducing the reader to Stata, the authors introduce linear regression, simulation, and generalized least-squares methods. The section on cross-sectional techniques is thorough, with up-to-date treatments of instrumental-variables methods for linear models and of quantile-regression methods.
The next section of the book covers estimators for the parameters of linear panel-data models. The authors’ choice of topics is unique: after addressing the standard random-effects and fixed-effects methods, the authors also describe mixed linear models—a method used in many areas outside of econometrics.
Cameron and Trivedi not only address methods for nonlinear regression models but also show how to code new nonlinear estimators in Stata. In addition to detailing nonlinear methods, which are omitted from most econometrics textbooks, this section shows researchers and students how to easily implement new nonlinear estimators.
The authors next describe inference using analytical and bootstrap approximations to the distribution of test statistics. This section highlights Stata’s power to easily obtain bootstrap approximations, and it also introduces the basic elements of statistical inference.
Cameron and Trivedi then include an extensive section about methods for different nonlinear models. They begin by detailing methods for binary dependent variables. This section is followed by sections about multinomial models, tobit and selection models, count-data models, and nonlinear panel-data models. Two appendices about Stata programming complete the book.
The unique combination of topics, intuitive introductions to methods, and detailed illustrations of Stata examples make Microeconometrics Using Stata an invaluable, hands-on addition to the library of anyone who uses microeconometric methods.
Auteur : A. Colin Cameron and Pravin K. Trivedi
Editeur : Stata Press
ISBN-13 : 978-1-59718-073-3 | 706 pages
Prix : 79 €HT
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Multilevel and Longitudinal Modeling Using Stata (English), 2nd Edition
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.
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.
Auteur : Sophia Rabe-Hesketh and Anders Skrondal
Editeur : Stata Press
ISBN : 978-1-59718-040-5 | 562 pages
Prix : 69 €HT
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Regression Models for Categorical Dependent Variables using Stata (English), 2nd Edition
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.
Auteur : J. Scott Long, Jeremy Freese
Editeur : Stata Press
ISBN : 978-1-59718-011-5 | 527 pages
Prix : 69 €HT
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Stata par la pratique (Français)
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.
Auteur : Eric Cahuzac et Christophe Bontemps
Editeur : Stata Press
ISBN : 978-1-59718-042-9 | 254 pages
Prix : 49 €HT
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Seventy-six Stata Tips , 2nd Edition(English) - NEW !
Since 2003, the Stata Journal has included Stata Tips on special issues in data analysis with Stata. Now Seventy-six Stata Tips, 2nd Edition compiles these useful guides into a compact tome for ease of reference. In keeping with the Stata spirit, Tips are from Stata users and StataCorp employees alike and will serve as guideposts for both new and experienced users. Seventy-six Stata Tips includes the first 33 tips of the series, previously published in the book thirty-three Stata Tips.
Auteur : H. Joseph Newton and N. J. Cox
Editeur : Stata Press
ISBN : 978-1-59718-071-9 | 177 pages
Prix : 39 €HT
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The Stata Survival Manual (English) - NEW !
The Stata Survival Manual, by David Pevalin and Karen Robson, is a nicely written introduction to practical use of Stata 10. The style is friendly and flows well, and the authors do not assume prior knowledge of Stata or statistical sophistication from the reader. Both Stata and statistical usage are explained throughout.
The text steps through the basics of using Stata, starting with basic usage of Stata and working through common data-management techniques for table and graph creation, analysis, and presentation of results. Special focus is given to working with categorical variables and building scales from instruments. The analysis sections detail how to fit interactions and explain them to nonstatistical audiences using graphs. Each chapter begins with a presentation of new tools in Stata and simple examples of their use. The tools are then applied in a “Demonstration Exercise” to an example that runs throughout the book. Thus the reader can learn new tools in a simple setting and see their use in an analysis on a real-life dataset from start to finish.
At several points in the book, especially in the chapters working with data management, the authors point out differences between Stata and SPSS for those making the transition from SPSS to Stata. While the authors focus on using do-files for reproducibility, they also show how to use the menus and dialog boxes for those accustomed to working in this fashion.
Auteur : David Pevalin and Karen Robson
Editeur : McGraw-Hill
ISBN : 978-0-335-22388-6 | 373 pages
Prix : 50 €HT
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The Workflow of Data Analysis Using Stata (English)
Comment from the Stata technical group
The Workflow of Data Analysis Using Stata, by J. Scott Long, is an essential productivity tool for data analysts. Aimed at anyone who analyzes data, this book presents an effective strategy for designing and doing data-analytic projects.
In this book, Long presents lessons gained from his experience with numerous academic publications, as a coauthor of the immensely popular Regression Models for Categorical Dependent Variables Using Stata, and as a coauthor of the SPOST routines, which are downloaded over 20,000 times a year.
A workflow of data analysis is a process for managing all aspects of data analysis. Planning, documenting, and organizing your work; cleaning the data; creating, renaming, and verifying variables; performing and presenting statistical analyses; producing replicable results; and archiving what you have done are all integral parts of your workflow.
Long shows how to design and implement efficient workflows for both one-person projects and team projects. Long guides you toward streamlining your workflow, because a good workflow is essential for replicating your work, and replication is essential for good science.
An efficient workflow reduces the time you spend doing data management and lets you produce datasets that are easier to analyze. When you methodically clean your data and carefully choose names and effective labels for your variables, the time you spend doing statistical and graphical analyses will be more productive and more enjoyable.
After introducing workflows and explaining how a better workflow can make it easier to work with data, Long describes planning, organizing, and documenting your work. He then introduces how to write and debug Stata do-files and how to use local and global macros. Long presents conventions that greatly simplify data analysis—conventions for naming, labeling, documenting, and verifying variables. He also covers cleaning, analyzing, and protecting your data.
While describing effective workflows, Long also introduces the concepts of basic data management using Stata and writing Stata do-files. Using real-world examples, Stata commands, and Stata scripts, Long illustrates effective techniques for managing your data and analyses. If you analyze data, this book is recommended for you.
You have written the book that I had planned to write someday. But I’m glad I didn’t—your book is much better. Congratulations, this was greatly needed.
Prof. Bill Gardner
The Ohio State University
I will post the announcement of Workflow on my door with the following note: “I’m glad to help anybody who followed at least 25% of the advice Long provides—and brings me their do-files!”
Prof. Alan C. Acock
Oregon State University
I just wanted to send you a thank you for taking the time to write this book. I feel a little like an obsessed fan because I read it for several hours last night, bought 3 copies for my new research team and am presenting our new organization scheme tomorrow. It turns out that we have just finished a first flurry of data collection and hiring and I’ve been scratching my head about how to systematize some aspects. It is a perfect time to superimpose a structure. I’ve used aspects of your plan in my own work (hence my eagerness to adopt) but having this coherent volume is a wonderful and practical resource. I learned a lot from reading this. Thank you!
Elizabeth Gifford, Ph.D.
Research Scientist
Duke University
I just received a knock at my door with my new copy of The Workflow of Data Analysis Using Stata. I immediately ripped off the packaging and began perusing it. Just before the knock, I was attempting to write a program to get Stata to save the r(mean) and r(sd) for two variables following a summarize command to be saved for a ttesti command. After looking at your book for about two minutes, I stumbled upon pages 91–92, where it gave me all the information I need. … I have only had the book about 10 minutes and already it has made my life easier. Thanks much, and I am already looking forward to reading the rest of the book!
Claire M. Kamp Dush, Ph.D.
The Ohio State University
I am a Spanish professor of public economics who is at present enjoying a study-research leave at Melbourne University (Australia). Because of that I have had the time to read your book from cover to cover. I just want to thank you for the incredible work you have done! A book such as this one is a must for anyone trying to make an academic career. Definitely, I will recommend it to my graduate students as soon as I go back to Spain. If I had the chance to reach this book twenty years ago I would have been much more efficient doing my work. Never is it too late! Thanks!
Prof. Jose Felix Sanz-Sanz
Dept. of Applied Economics
Universidad Complutense de Madrid
Auteur : J. Scott Long
Editeur : Stata Press
ISBN : 978-1-59718-047-4 | 379 pages
Prix : 59 €HT
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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 Stata users.
Examples of the types of papers include :
- expository papers that link the use of Stata commands or programs to associated principles, such as those that will serve as tutorials for users first encountering a new field of statistics or a major new technique
- papers that go "beyond the Stata manual" in explaining key features or uses of Stata that are of interest to intermediate or advanced users of Stata
- papers that discuss new commands or Stata programs of interest either to a wide spectrum of users (e.g., in data management or graphics) or to some large segment of Stata users (e.g., in survey statistics, survival analysis, panel analysis, or limited dependent variable modeling)
- papers analyzing the statistical properties of new or existing estimators and tests in Stata
- papers that could be of interest or usefulness to researchers, especially in fields that are of practical importance but are not often included in texts or other journals, such as the use of Stata in managing datasets, especially large datasets, with advice from hard-won experience
- papers of interest to those who teach, including Stata with topics such as extended examples of techniques and interpretation of results, simulations of statistical concepts, and overviews of subject areas.
Auteur : H. Joseph Newton and Nicholas J. Cox
Editeur : Stata Press | 327 pages
Prix (Abonnement de 3 ans) : 145 €HT
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Stata 11 Documentation Set (English)
Includes
- Getting Started with Stata manuals (all 3 platforms)
- User's Guide
- Base Reference Manual (3 volumes)
- Data-Management Reference Manual
- Graphics Reference Manual
- Longitudianl-Data/Panel-Data Reference Manual
- Mata Reference Manual (2 volumes)
- Multiple-Imputation Reference Manual
- Multivariate Statistics Refrence Manual
- Programming Reference Manual
- Survey Data Reference Manual
- Survival Analysis and Epidemiological Tables Reference Manual
- Time-Series Reference Manual
- Quick Reference and Index
Auteur/Editeur : Stata Press | 8 395 pages
Prix (achat hors licence) : 560 €HT
Prix (achat simultané d'une licence ou mise à jour) : 355 €HT
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Base Reference Manual - 3 volumes (English)
Auteur/Editeur : Stata Press
ISBN : 978-1-59718-066-5 | 2 106 pages
Prix : 189 €HT
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Data-Management Reference Manual (English)
Auteur/Editeur : Stata Press
ISBN : 978-1-59718-050-4 | 577 pages
Prix : 59 €HT
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Longitudinal-Data/Panel-Data Reference Manual (English)
Auteur/Editeur : Stata Press
ISBN : 978-1-59718-065-8 | 563 pages
Prix : 59 €HT
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Mata Reference Manual - 2 volumes (English)
Auteur/Editeur : Stata Press
ISBN : 978-1-59718-056-6 | 914 pages
Prix : 99 €HT
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Multiple-Imputation Reference Manual (English)
Auteur/Editeur : Stata Press
ISBN : 978-1-59718-070-2 | 265 pages
Prix : 49 €HT
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Multivariate Statistics Reference Manual (English)
Auteur/Editeur : Stata Press
ISBN : 978-1-59718-059-7 | 687 pages
Prix : 69 €HT
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Survival Analysis and Epidemiological Tables Reference Manual (English)
Auteur/Editeur : Stata Press
ISBN : 978-1-59718-061-0 | 548 pages
Prix : 59 €HT
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