Statistics with STATA

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Author: Lawrence Hamilton

Publisher: Cengage Learning

ISBN: 0495557862

Category: Mathematics

Page: 400

View: 6462

For students and practicing researchers alike, STATISTICS WITH STATA opens the door to the full use of the popular Stata program a fast, flexible, and easy-to-use environment for data management and statistics analysis. Now integrating Stata’s impressive new graphics, this comprehensive book presents hundreds of examples showing how you can apply Stata to accomplish a wide variety of tasks. Like Stata itself, STATISTICS WITH STATA will make it easier for you to move fluidly through the world of modern data analysis. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Statistics with STATA: Version 12

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Author: Lawrence C. Hamilton

Publisher: Cengage Learning

ISBN: 0840064632

Category: Mathematics

Page: 496

View: 415

For students and practicing researchers alike, STATISTICS WITH STATA Version 12 opens the door to the full use of the popular Stata program--a fast, flexible, and easy-to-use environment for data management and statistics analysis. Integrating Stata's impressive graphics, this comprehensive book presents hundreds of examples showing how to apply Stata to accomplish a wide variety of tasks. Like Stata itself, STATISTICS WITH STATA will make it easier for readers to move fluidly through the world of modern data analysis. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Statistics with Stata

Updated for Version 12

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Author: Lawrence C. Hamilton

Publisher: Thomson Brooks/Cole

ISBN: 9781111580728

Category: Analysis of variance

Page: 473

View: 2977

For students and practicing researchers alike, STATISTICS WITH STATA Version 12, International Edition opens the door to the full use of the popular Stata program—a fast, flexible, and easy-to-use environment for data management and statistics analysis. Integrating Stata's impressive graphics, this comprehensive book presents hundreds of examples showing how to apply Stata to accomplish a wide variety of tasks. Like Stata itself, STATISTICS WITH STATA Version 12, International Edition will make it easier for readers to move fluidly through the world of modern data analysis.

Ökonometrie für Dummies

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Author: Roberto Pedace

Publisher: John Wiley & Sons

ISBN: 3527801529

Category: Business & Economics

Page: 388

View: 7573

Theorien verstehen und Techniken anwenden Was haben die Gehälter von Spitzensportlern und der Mindestlohn gemeinsam? Richtig, man kann sie mit Ökonometrie erforschen. Im Buch steht, wie es geht. Und nicht nur dafür, sondern für viele weitere Gebiete lohnt es sich, der zunächst etwas trocken und sperrig anmutenden Materie eine Chance zu geben. Lernen Sie von den Autoren, wie Sie spannende Fragen formulieren, passende Variablen festlegen, treffsichere Modelle entwerfen und Ihre Aussagen auf Herz und Nieren prüfen. Werden Sie sicher im Umgang mit Hypothesentests, Regressionsmodellen, Logit- & Probit-Modellen und allen weiteren gängigen Methoden der Ökonometrie. So begleitet Ökonometrie für Dummies Sie Schritt für Schritt und mit vielen Beispielen samt R Output durch dieses spannende Thema.

Statistics with Stata 5

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Author: Lawrence C. Hamilton

Publisher: Thomson Brooks/Cole

ISBN: N.A

Category: Stata

Page: 325

View: 327

This book is an excellent tool for anyone using, or considering using Stata 5 to do statistical analysis for social science, economics or biostatistical research. Users will appreciate Hamilton's excellent tutorials and plentiful real-world examples. Early chapters cover topics that correspond to a first course in statistics: data entry, elementary univariate and bivariate techniques, and multiple regression. Later chapters include essential tools for doing original research, such as regression diagnostics, survival analysis and Monte Carlo and bootstrap methods. This book also offers: -- Examples illustrated with output, graphs, and other figures -- Greatly expanded coverage of data management, reflecting on "Stata's" improvements in this area and its importance to data analysis -- Two entirely new chapters: Chapter I I on survival analysis and Chapter 13 on programming -- New Internet resources, notably "Stata's" website, technical support via e-mail, and Statalist (the independent discussion forum)

Statistics Using Stata

An Integrative Approach

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Author: Sharon Lawner Weinberg,Sarah Knapp Abramowitz

Publisher: Cambridge University Press

ISBN: 1107461189

Category: Mathematics

Page: 640

View: 9957

Engaging and accessible, this comprehensive introduction to statistics integrates Stata commands with numerous examples based on real data.

Applied Statistics Using Stata

A Guide for the Social Sciences

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Author: Mehmet Mehmetoglu,Tor Georg Jakobsen

Publisher: SAGE

ISBN: 1473987148

Category: Social Science

Page: 376

View: 3349

Clear, intuitive and written with the social science student in mind, this book represents the ideal combination of statistical theory and practice. It focuses on questions that can be answered using statistics and addresses common themes and problems in a straightforward, easy-to-follow manner. The book carefully combines the conceptual aspects of statistics with detailed technical advice providing both the ‘why’ of statistics and the ‘how’. Built upon a variety of engaging examples from across the social sciences it provides a rich collection of statistical methods and models. Students are encouraged to see the impact of theory whilst simultaneously learning how to manipulate software to meet their needs. The book also provides: Original case studies and data sets Practical guidance on how to run and test models in Stata Downloadable Stata programmes created to work alongside chapters A wide range of detailed applications using Stata Step-by-step notes on writing the relevant code. This excellent text will give anyone doing statistical research in the social sciences the theoretical, technical and applied knowledge needed to succeed.

An Introduction to Stata for Health Researchers

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Author: Svend Juul

Publisher: Stata Press

ISBN: 1597180106

Category: Computers

Page: 326

View: 2392

Designed to assist those working in health research, An Introduction to Stata for Health Researchers, explains how to maximize the versatile Strata program for data management, statistical analysis, and graphics for research. The first nine chapters are devoted to becoming familiar with Stata and the essentials of effective data management. The text is also a valuable companion reference for more advanced users. It covers a host of useful applications for health researchers including the analysis of stratified data via epitab and regression models; linear, logistic, and Poisson regression; survival analysis including Cox regression, standardized rates, and correlation/ROC analysis of measurements.

Statistical Modeling for Biomedical Researchers

A Simple Introduction to the Analysis of Complex Data

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Author: William D. Dupont,William Dudley Dupont

Publisher: Cambridge University Press

ISBN: 0521849527

Category: Medical

Page: 522

View: 4689

A second edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods.

Data Analysis Using Stata

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Author: Ulrich Kohler,Frauke Kreuter

Publisher: Stata Press

ISBN: 1597180076

Category: Computers

Page: 378

View: 6563

Provides an introduction to Stata with an emphasis on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks. This book gives an introduction to the Stata interface and then proceeds with a discussion of Stata syntax and simple programming tools like for each loops.

Practical Statistics

A Quick and Easy Guide to IBM® SPSS® Statistics, STATA, and Other Statistical Software

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Author: David Kremelberg

Publisher: SAGE Publications

ISBN: 150631791X

Category: Social Science

Page: 528

View: 4645

Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.

Handbook of Statistical Analyses Using Stata, Fourth Edition

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Author: Brian S. Everitt,Sophia Rabe-Hesketh

Publisher: CRC Press

ISBN: 9781584887560

Category: Mathematics

Page: 352

View: 7403

With each new release of Stata, a comprehensive resource is needed to highlight the improvements as well as discuss the fundamentals of the software. Fulfilling this need, A Handbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to Stata version 9. This edition covers many new features of Stata, including a new command for mixed models and a new matrix language. Each chapter describes the analysis appropriate for a particular application, focusing on the medical, social, and behavioral fields. The authors begin each chapter with descriptions of the data and the statistical techniques to be used. The methods covered include descriptives, simple tests, variance analysis, multiple linear regression, logistic regression, generalized linear models, survival analysis, random effects models, and cluster analysis. The core of the book centers on how to use Stata to perform analyses and how to interpret the results. The chapters conclude with several exercises based on data sets from different disciplines. A concise guide to the latest version of Stata, A Handbook of Statistical Analyses Using Stata, Fourth Edition illustrates the benefits of using Stata to perform various statistical analyses for both data analysis courses and self-study.

Understanding Political Science Statistics using Stata

A Manual with Exercises

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Author: Ellen Seljan

Publisher: Routledge

ISBN: 1351538020

Category: Political Science

Page: N.A

View: 9939

This manual walks students through the procedures for analysis in Stata and provides exercises that go hand-in-hand with online data sets. The manual complements the textbook Understanding Political Science Statistics: Observations and Expectations in Political Analysis, by Peter Galderisi, making it easy to use alongside the book in a course or as a stand-alone guide to using Stata. Seljan demonstrates how to run commands in Stata for different kinds of research questions and shows the results of the analyses, using lots of annotated screenshots from Stata version 12 (but compatible with all versions, including Stata Small). Students will be guided through standard processes replete with examples and exercises to ready them for future work in political science research. The diverse group of data sets provided include subsamples of both the 2008 and 2012 American National Election Studies, a Eurobarometer survey, single year and longitudinal congressional district files, the 2012 Comparative Congressional Election Study, and a comparative, crossnational country file. Versions with reduced case numbers and variables are also included that are compatible with Stata Small.This manual (and a parallel SPSS manual) are available as stand-alone products or packaged with the textbook Understanding Political Science Statistics.

A Gentle Introduction to Stata

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Author: Alan C. Acock

Publisher: Stata Press

ISBN: 1597180092

Category: Computers

Page: 289

View: 9845

Providing the basic collection of statistical procedures used by social scientists, A Gentle Introduction to Stata presents the fundamental tools to learn Stata. The book begins with showing how to enter and manage data as well as perform basic descriptive statistics and graphical analysis. It then examines standard statistical procedures from a t test, nonparametric tests, measures of association, multiple regression, and logical regression. The book ends with guidelines for future work and advanced topics. This learning source is an excellent introduction for those with little statistical software experience while also a useful reference for more knowledgeable statisticians by offering a detailed index of commands.

Agricultural Statistical Data Analysis Using Stata

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Author: George Boyhan

Publisher: CRC Press

ISBN: 1466585862

Category: Mathematics

Page: 264

View: 8493

Practical statistics is a powerful tool used frequently by agricultural researchers and graduate students involved in investigating experimental design and analysis. One of the most widely used statistical analysis software packages for this purpose is Stata. The Stata software program has matured into a user-friendly environment with a wide variety of statistical functions. Agricultural Statistical Data Analysis Using Stata introduces readers to the use of Stata to solve agricultural statistical problems. The book begins with an overview of statistical software and the Stata program. It explains the various windows and menus and describes how they are integrated. The next chapters explore data entry and importing as well as basic output formats and descriptive statistics. The author describes the ever-increasing design complexity and how this is implemented in the software. He reviews one of Stata’s strongest features, which is its programming ability. He also examines post hoc tests as well as Stata’s graphing capabilities. The final chapters provide information on regression analysis, data transformations, and the analyses of non-parametric data. Many agricultural researchers are unprepared for the statistics they will need to use in their profession. Written in an easy-to-read format with screen shots and illustrations, the book is suitable for a wide audience, including beginners in statistics who are new to Stata, as well as more advanced Stata users and those interested in more complex designs.

Vital statistics - E-Book

An introduction to health science statistics

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Author: Stephen McKenzie

Publisher: Elsevier Health Sciences

ISBN: 0729581497

Category: Medical

Page: 244

View: 3468

Vital Statistics: an introduction to health science statistics e-book is a new Australian publication. This textbook draws on real world, health-related and local examples, with a broad appeal to the Health Sciences student. It demonstrates how an understanding of statistics is useful in the real world, as well as in statistics exams. Vital Statistics: an introduction to health science statistics e-book is a relatively easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges. Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics. It explores: How data relates to information, and how information relates to knowledge How to use statistics to distinguish information from disinformation The importance of probability, in statistics and in life That inferential statistics allow us to infer from samples to populations, and how useful such inferences can be How to appropriately apply and interpret statistical measures of difference and association How qualitative and quantitative methods differ, and when it’s appropriate to use each The special statistical needs of the health sciences, and some especially health science relevant statistics The vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses Real-life local examples of health statistics are presented, e.g. A study conducted at the Department of Obstetrics and Gynecology, University of Utah School of Medicine, explored whether there might be a systematic bias affecting the results of genetic specimen tests, which could affect their generalizability. Reader-friendly writing style t-tests/ ANOVA family of inferential statistics all use variants of the same basic formula Learning Objectives at the start of each chapter and Quick Reference Summaries at the end of each chapter provide the reader with a scope of the content within each chapter.

Event History Analysis With Stata

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Author: Hans-Peter Blossfeld,Katrin Golsch,Gotz Rohwer

Publisher: Psychology Press

ISBN: 1135595925

Category: Business & Economics

Page: 312

View: 487

Event History Analysis With Stata provides an introduction to event history modeling techniques using Stata (version 9), a widely used statistical program that provides tools for data analysis. The book emphasizes the usefulness of event history models for causal analysis in the social sciences and the application of continuous-time models. The authors illustrate the entire research path required in the application of event-history analysis, from the initial problems of recording event-oriented data, to data organization, to applications using the software, to the interpretation of results. The book also demonstrates, through example, how to implement hypotheses tests and how to choose the right model. The strengths and limitations of various techniques are emphasized in each example, along with an introduction to the model, details on how to input data, and the related Stata commands. Each application is accompanied by a brief explanation of the underlying statistical concept. Readers are offered the unique opportunity to easily run and modify all of the book’s application examples on a computer, by visiting the author’s Web site at http://www.uni-bamberg.de/sowi/soziologie-i/eha/. Examples include survival rates of patients in medical studies; unemployment periods in economic studies; and the time it takes a criminal to break the law after his release in a criminological study. This new book supplements Event History Analysis, by Blossfeld et al, and Techniques of Event History Modeling, by Blossfeld and Rohwer, extending on their coverage of practical applications and statistical theory. Intended for researchers in a variety of fields such as statistics, economics, psychology, sociology, and political science, Event History Analysis With Stata also serves as a text, in combination with the authors’ other two books, for courses on event history analysis.

An Introduction to Modern Econometrics Using Stata

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Author: Christopher F. Baum

Publisher: Stata Press

ISBN: 1597180130

Category: Business & Economics

Page: 341

View: 843

Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata. As an expert in Stata, the author successfully guides readers from the basic elements of Stata to the core econometric topics. He first describes the fundamental components needed to effectively use Stata. The book then covers the multiple linear regression model, linear and nonlinear Wald tests, constrained least-squares estimation, Lagrange multiplier tests, and hypothesis testing of nonnested models. Subsequent chapters center on the consequences of failures of the linear regression model's assumptions. The book also examines indicator variables, interaction effects, weak instruments, underidentification, and generalized method-of-moments estimation. The final chapters introduce panel-data analysis and discrete- and limited-dependent variables and the two appendices discuss how to import data into Stata and Stata programming. Presenting many of the econometric theories used in modern empirical research, this introduction illustrates how to apply these concepts using Stata. The book serves both as a supplementary text for undergraduate and graduate students and as a clear guide for economists and financial analysts.

Handbook of Statistical Analyses Using Stata

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Author: Sophia Rabe-Hesketh,Brian Everitt

Publisher: CRC Press

ISBN: 9781439832356

Category: Mathematics

Page: 328

View: 6740

The powerful statistical software Stata has streamlined data analysis, interpretation, and presentation for researchers and statisticians around the world. But because of its power and plethora of features, particularly in version 8, Stata manuals are usually quite extensive and detailed. The third edition of the Handbook of Statistical Analyses Using Stata describes the features of Stata version 8 in the same concise, convenient format that made the previous editions so popular. But the revisions updating the handbook to version 8 are not all this edition has to offer: the authors also added important material in three all-new chapters and focused more attention on Stata's improved graphical features. More Highlights of the Third Edition Ö Updates in all chapters that reflect the features of Stata 8 Ö A new chapter on random effects models Ö A new chapter on generalized estimating equations Ö A new chapter on cluster analysis Ö Increased emphasis on diagnostics Each chapter deals with a particular data set, identifies the appropriate analysis for it, and while it includes a brief account of the statistical background of the technique applied, the primary focus remains firmly on using Stata 8 and interpreting its results. Ideal for researchers, statisticians, and students alike, this handbook forms a perfect complement to the Stata manuals, by giving new users a head start on using the program and providing experienced users with a handy quick reference.