Statistics with STATA: Version 12

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Author: Lawrence Hamilton

Publisher: Cengage Learning

ISBN: 0840064632

Category: Mathematics

Page: 496

View: 3372

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: 9891

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.

Statistics with STATA: Version 12

DOWNLOAD NOW »

Author: Lawrence Hamilton

Publisher: Cengage Learning

ISBN: 0840064632

Category: Mathematics

Page: 496

View: 4959

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: Version 12

DOWNLOAD NOW »

Author: Lawrence Hamilton

Publisher: Cengage Learning

ISBN: 0840064632

Category: Mathematics

Page: 496

View: 7952

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.

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: 866

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.

Regression with Graphics

A Second Course in Applied Statistics

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Author: Lawrence C. Hamilton

Publisher: Duxbury Resource Center

ISBN: N.A

Category: Mathematics

Page: 363

View: 7765

This text demonstrates how computing power has expanded the role of graphics in analyzing, exploring, and experimenting with raw data. It is primarily intended for students whose research requires more than an introductory statistics course, but who may not have an extensive background in rigorous mathematics. It's also suitable for courses with students of varying mathematical abilities. Hamilton provides students with a practical, realistic, and graphical approach to regression analysis so that they are better prepared to solve real, sometimes messy problems. For students and professors who prefer a heavier mathematical emphasis, the author has included optional sections throughout the text where the formal, mathematical development of the material is explained in greater detail. REGRESSION WITH GRAPHICS is appropriate for use with any (or no) statistical computer package. However, Hamilton used STAT A in the development of the text due to its ease of application and sophisticated graphics capabilities. (STATA is available in a student package from Duxbury including a tutorial by the same author: Hamilton, STATISTICS WITH STAT A, 5.0, 1998; ISBN: 0-534-31874-6.)

Applied Statistics Using Stata

A Guide for the Social Sciences

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Author: Mehmet Mehmetoglu,Tor Georg Jakobsen

Publisher: SAGE

ISBN: 1473987903

Category: Social Science

Page: 376

View: 2510

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.

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: 2967

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.

Data Analysis for Social Scientists

A First Course in Aplied Statistics

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Author: Lawrence C. Hamilton

Publisher: Duxbury Resource Center

ISBN: N.A

Category: Social Science

Page: 436

View: 6431

Data Analysis for Social Scientists will supply you with the necessary background and instruction to begin applying statistics to research, helping you learn to draw reasonable conclusions about data. This book stresses the practical application of statistics, rather than mathematical theory. Through the analysis of real data - supplied for you on the book's data disk - you will develop the critical thinking skills needed to apply statistical analysis to social science research. Data Analysis for Social Scientists also demonstrates the important role computers play in modern statistics. Many computer examples allow you to practice the methods researchers use to manipulate data, and help you learn how to use and interpret statistics, without the hassles of hand calculation.

Data Analysis Using Stata

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Author: Ulrich Kohler,Frauke Kreuter

Publisher: Stata Press

ISBN: 1597180076

Category: Computers

Page: 378

View: 9518

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.

A Gentle Introduction to Stata, Second Edition

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Author: Alan C. Acock

Publisher: Stata Press

ISBN: 1597180432

Category: Computers

Page: 333

View: 8201

Updated to reflect the new features of Stata 11, A Gentle Introduction to Stata, Third Edition continues to help new Stata users become proficient in Stata. After reading this introductory text, you will be able to enter, build, and manage a data set as well as perform fundamental statistical analyses. New to the Third Edition A new chapter on the analysis of missing data and the use of multiple-imputation methods Extensive revision of the chapter on ANOVA Additional material on the application of power analysis The book covers data management; good work habits, including the use of basic do-files; basic exploratory statistics, including graphical displays; and analyses using the standard array of basic statistical tools, such as correlation, linear and logistic regression, and parametric and nonparametric tests of location and dispersion. Rather than splitting these topics by their Stata implementation, the material on graphics and postestimation are woven into the text in a natural fashion. The author teaches Stata commands by using the menus and dialog boxes while still stressing the value of do-files. Each chapter includes exercises and real data sets are used throughout.

Modern Data Analysis

A First Course in Applied Statistics

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Author: Lawrence C. Hamilton

Publisher: Brooks/Cole

ISBN: N.A

Category: Mathematics

Page: 684

View: 8327

Introduction to Survey Sampling

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Author: Graham Kalton,KALTON

Publisher: SAGE

ISBN: 9780803921269

Category: Mathematics

Page: 96

View: 9150

Reviews sampling methods used in surveys: simple random sampling, systematic sampling, stratification, cluster and multi-stage sampling, sampling with probability proportional to size, two-phase sampling, replicated sampling, panel designs, and non-probability sampling. Kalton discusses issues of practical implementation, including frame problems and non-response, and gives examples of sample designs for a national face-to-face interview survey and for a telephone survey. He also treats the use of weights in survey analysis, the computation of sampling errors with complex sampling designs, and the determination of sample size.

The Stata Survival Manual

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Author: David Pevalin,Pevalin David J Robson Karen

Publisher: McGraw-Hill Education (UK)

ISBN: 0335240275

Category: Mathematics

Page: 389

View: 4850

The book will guide you through the research process offering further reading where more complex decisions need to be made and giving 'real world' examples from a wide range of disciplines and anecdotes that clarify issues for readers.

Using Stata for Quantitative Analysis

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Author: Kyle C. Longest

Publisher: SAGE Publications

ISBN: 1483356647

Category: Social Science

Page: 272

View: 7664

Using Stata for Quantitative Analysis, Second Edition offers a brief, but thorough introduction to analyzing data with Stata software. It can be used as a reference for any statistics or methods course across the social, behavioral, and health sciences since these fields share a relatively similar approach to quantitative analysis. In this book, author Kyle Longest teaches the language of Stata from an intuitive perspective, furthering students’ overall retention and allowing a student with no experience in statistical software to work with data in a very short amount of time. The self-teaching style of this book enables novice Stata users to complete a basic quantitative research project from start to finish. The Second Edition covers the use of Stata 13 and can be used on its own or as a supplement to a research methods or statistics textbook.

An Introduction to Stata for Health Researchers

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Author: Svend Juul

Publisher: Stata Press

ISBN: 1597180106

Category: Computers

Page: 326

View: 6359

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.

A Visual Guide to Stata Graphics, Second Edition

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Author: Michael N. Mitchell

Publisher: Stata Press

ISBN: 1597180394

Category: Computers

Page: 471

View: 8286

Whether you are new to Stata graphics or a seasoned veteran, A Visual Guide to Stata Graphics, Second Edition will teach you how to use Stata to make publication-quality graphs that will stand out and enhance your statistical results. With over 900 illustrated examples and quick-reference tabs, this book quickly guides you to the information you need for creating and customizing high-quality graphs for any types of statistical data.

Statistical Modeling for Biomedical Researchers

A Simple Introduction to the Analysis of Complex Data

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Author: William D. Dupont

Publisher: Cambridge University Press

ISBN: 1139643819

Category: Medical

Page: N.A

View: 5969

The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is again used to perform the analyses, this time employing the much improved version 10 with its intuitive point and click as well as character-based commands. Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situations. An appendix will help the reader select the most appropriate statistical methods for their data. The text makes extensive use of real data sets available at http://biostat.mc.vanderbilt.edu/dupontwd/wddtext/.

Biostatistics in Public Health Using STATA

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Author: Erick L. Suárez,Cynthia M. Pérez,Graciela M. Nogueras,Camille Moreno-Gorrín

Publisher: CRC Press

ISBN: 1498722024

Category: Mathematics

Page: 190

View: 4066

Striking a balance between theory, application, and programming, Biostatistics in Public Health Using STATA is a user-friendly guide to applied statistical analysis in public health using STATA version 14. The book supplies public health practitioners and students with the opportunity to gain expertise in the application of statistics in epidemiologic studies. The book shares the authors’ insights gathered through decades of collective experience teaching in the academic programs of biostatistics and epidemiology. Maintaining a focus on the application of statistics in public health, it facilitates a clear understanding of the basic commands of STATA for reading and saving databases. The book includes coverage of data description, graph construction, significance tests, linear regression models, analysis of variance, categorical data analysis, logistic regression model, poisson regression model, survival analysis, analysis of correlated data, and advanced programming in STATA. Each chapter is based on one or more research problems linked to public health. Additionally, every chapter includes exercise sets for practicing concepts and exercise solutions for self or group study. Several examples are presented that illustrate the applications of the statistical method in the health sciences using epidemiologic study designs. Presenting high-level statistics in an accessible manner across research fields in public health, this book is suitable for use as a textbook for biostatistics and epidemiology courses or for consulting the statistical applications in public health. For readers new to STATA, the first three chapters should be read sequentially, as they form the basis of an introductory course to this software.

The Workflow of Data Analysis Using Stata

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Author: J. Scott Long

Publisher: Stata Press

ISBN: 9781597180474

Category: Mathematics

Page: 379

View: 1514

The Workflow of Data Analysis Using Stata, by J. Scott Long, is an essential productivity tool for data analysts. Long presents lessons gained from his experience and demonstrates how to design and implement efficient workflows for both one-person projects and team projects. 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. After a discussion of conventions that greatly simplify data analysis the author covers cleaning, analyzing, and protecting data.