Data Analysis Using Stata Third Edition

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Data Analysis Using Stata, Third Edition

Author : Ulrich Kohler,Frauke Kreuter
Publisher : Stata Press
Page : 0 pages
File Size : 54,7 Mb
Release : 2012-08-20
Category : Mathematics
ISBN : 1597181102

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Data Analysis Using Stata, Third Edition by Ulrich Kohler,Frauke Kreuter Pdf

Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks. The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand. Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.

Data Analysis Using Stata

Author : Ulrich Kohler (Dr. phil.),Frauke Kreuter
Publisher : Stata Press
Page : 399 pages
File Size : 51,8 Mb
Release : 2005-06-15
Category : Computers
ISBN : 9781597180078

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Data Analysis Using Stata by Ulrich Kohler (Dr. phil.),Frauke Kreuter Pdf

"This book provides a comprehensive introduction to Stata with an emphasis on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks. Using data from a longitudinal study of private households in Germany, the book presents many examples from the social sciences to bring beginners up to speed on the use of Stata." -- BACK COVER.

An Introduction to Survival Analysis Using Stata, Second Edition

Author : Mario Cleves
Publisher : Stata Press
Page : 398 pages
File Size : 50,9 Mb
Release : 2008-05-15
Category : Computers
ISBN : 9781597180412

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An Introduction to Survival Analysis Using Stata, Second Edition by Mario Cleves Pdf

"[This book] provides new researchers with the foundation for understanding the various approaches for analyzing time-to-event data. This book serves not only as a tutorial for those wishing to learn survival analysis but as a ... reference for experienced researchers ..."--Book jacket.

Using Stata for Quantitative Analysis

Author : Kyle C. Longest
Publisher : SAGE Publications
Page : 282 pages
File Size : 54,9 Mb
Release : 2014-07-02
Category : Social Science
ISBN : 9781483356648

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Using Stata for Quantitative Analysis by Kyle C. Longest Pdf

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.

Statistics Using Stata

Author : Sharon Lawner Weinberg,Sarah Knapp Abramowitz
Publisher : Cambridge University Press
Page : 681 pages
File Size : 41,7 Mb
Release : 2016-09-19
Category : Mathematics
ISBN : 9781107461185

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Statistics Using Stata by Sharon Lawner Weinberg,Sarah Knapp Abramowitz Pdf

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

An Introduction to Statistics and Data Analysis Using Stata®

Author : Lisa Daniels,Nicholas Minot
Publisher : SAGE Publications
Page : 513 pages
File Size : 47,9 Mb
Release : 2019-01-11
Category : Social Science
ISBN : 9781506371825

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An Introduction to Statistics and Data Analysis Using Stata® by Lisa Daniels,Nicholas Minot Pdf

An Introduction to Statistics and Data Analysis Using Stata® by Lisa Daniels and Nicholas Minot provides a step-by-step introduction for statistics, data analysis, or research methods classes with Stata. Concise descriptions emphasize the concepts behind statistics for students rather than the derivations of the formulas. With real-world examples from a variety of disciplines and extensive detail on the commands in Stata, this text provides an integrated approach to research design, statistical analysis, and report writing for social science students.

The Workflow of Data Analysis Using Stata

Author : J. Scott Long
Publisher : Stata Press
Page : 379 pages
File Size : 55,5 Mb
Release : 2008-12-10
Category : Mathematics
ISBN : 1597180475

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The Workflow of Data Analysis Using Stata by J. Scott Long Pdf

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.

Handbook of Statistical Analyses Using Stata

Author : Brian S. Everitt,Sophia Rabe-Hesketh
Publisher : CRC Press
Page : 354 pages
File Size : 46,9 Mb
Release : 2006-11-15
Category : Mathematics
ISBN : 9781466580572

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Handbook of Statistical Analyses Using Stata by Brian S. Everitt,Sophia Rabe-Hesketh Pdf

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, AHandbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to Stata version 9. This edition covers many

Handbook of Statistical Analyses Using Stata, Fourth Edition

Author : Brian S. Everitt,Sophia Rabe-Hesketh
Publisher : CRC Press
Page : 364 pages
File Size : 51,5 Mb
Release : 2006-11-15
Category : Mathematics
ISBN : 1584887567

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Handbook of Statistical Analyses Using Stata, Fourth Edition by Brian S. Everitt,Sophia Rabe-Hesketh Pdf

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.

Applied Statistics Using Stata

Author : Mehmet Mehmetoglu,Tor Georg Jakobsen
Publisher : SAGE
Page : 421 pages
File Size : 53,6 Mb
Release : 2022-04-26
Category : Social Science
ISBN : 9781529788464

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Applied Statistics Using Stata by Mehmet Mehmetoglu,Tor Georg Jakobsen Pdf

Straightforward, clear, and applied, this book will give you the theoretical and practical basis you need to apply data analysis techniques to real data. Combining key statistical concepts with detailed technical advice, it addresses common themes and problems presented by real research, and shows you how to adjust your techniques and apply your statistical knowledge to a range of datasets. It also embeds code and software output throughout and is supported by online resources to enable practice and safe experimentation. The book includes: · Original case studies and data sets · Practical exercises and lists of commands for each chapter · Downloadable Stata programmes created to work alongside chapters · A wide range of detailed applications using Stata · Step-by-step guidance on writing the relevant code. This is the perfect text for anyone doing statistical research in the social sciences getting started using Stata for data analysis.

Data Analysis with Stata

Author : Prasad Kothari
Publisher : Packt Publishing Ltd
Page : 176 pages
File Size : 40,5 Mb
Release : 2015-10-28
Category : Computers
ISBN : 9781782173182

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Data Analysis with Stata by Prasad Kothari Pdf

Explore the big data field and learn how to perform data analytics and predictive modelling in STATA About This Book Visualize and analyse data in STATA to devise a business strategy Learn STATA programming and predictive modeling Discover how you can become a data scientist with the power of STATA Who This Book Is For This book is for all the professionals and students who want to learn STATA programming and apply predictive modelling concepts. This book is also very helpful for experienced STATA programmers as it provides advanced statistical modelling concepts and their application. What You Will Learn Perform important statistical tests to become a STATA data scientist Be guided through how to program in STATA Implement logistic and linear regression models Visualize and program the data in STATA Analyse survey data, time series data, and survival data Perform database management in STATA In Detail STATA is an integrated software package that provides you with everything you need for data analysis, data management, and graphics. STATA also provides you with a platform to efficiently perform simulation, regression analysis (linear and multiple) [and custom programming. This book covers data management, graphs visualization, and programming in STATA. Starting with an introduction to STATA and data analytics you'll move on to STATA programming and data management. Next, the book takes you through data visualization and all the important statistical tests in STATA. Linear and logistic regression in STATA is also covered. As you progress through the book, you will explore a few analyses, including the survey analysis, time series analysis, and survival analysis in STATA. You'll also discover different types of statistical modelling techniques and learn how to implement these techniques in STATA. Style and approach This book is a hands-onguide to STATA programming and statistical modelling providing many STATA code examples and taking. You through the working of the code in detail.

An Introduction to Categorical Data Analysis

Author : Alan Agresti
Publisher : John Wiley & Sons
Page : 400 pages
File Size : 46,5 Mb
Release : 2018-10-11
Category : Mathematics
ISBN : 9781119405276

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An Introduction to Categorical Data Analysis by Alan Agresti Pdf

A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.

An Introduction to Modern Econometrics Using Stata

Author : Christopher F. Baum
Publisher : Stata Press
Page : 362 pages
File Size : 49,7 Mb
Release : 2006-08-17
Category : Business & Economics
ISBN : 9781597180139

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An Introduction to Modern Econometrics Using Stata by Christopher F. Baum Pdf

Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, this introduction illustrates how to apply econometric theories used in modern empirical research using Stata. The author emphasizes the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how to apply the theories to real data sets. The book first builds familiarity with the basic skills needed to work with econometric data in Stata before delving into the core topics, which range from the multiple linear regression model to instrumental-variables estimation.

Epidemiology

Author : Mark Woodward
Publisher : CRC Press
Page : 844 pages
File Size : 53,8 Mb
Release : 2013-12-19
Category : Mathematics
ISBN : 9781482243208

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Epidemiology by Mark Woodward Pdf

Highly praised for its broad, practical coverage, the second edition of this popular text incorporated the major statistical models and issues relevant to epidemiological studies. Epidemiology: Study Design and Data Analysis, Third Edition continues to focus on the quantitative aspects of epidemiological research. Updated and expanded, this edition shows students how statistical principles and techniques can help solve epidemiological problems. New to the Third Edition New chapter on risk scores and clinical decision rules New chapter on computer-intensive methods, including the bootstrap, permutation tests, and missing value imputation New sections on binomial regression models, competing risk, information criteria, propensity scoring, and splines Many more exercises and examples using both Stata and SAS More than 60 new figures After introducing study design and reviewing all the standard methods, this self-contained book takes students through analytical methods for both general and specific epidemiological study designs, including cohort, case-control, and intervention studies. In addition to classical methods, it now covers modern methods that exploit the enormous power of contemporary computers. The book also addresses the problem of determining the appropriate size for a study, discusses statistical modeling in epidemiology, covers methods for comparing and summarizing the evidence from several studies, and explains how to use statistical models in risk forecasting and assessing new biomarkers. The author illustrates the techniques with numerous real-world examples and interprets results in a practical way. He also includes an extensive list of references for further reading along with exercises to reinforce understanding. Web Resource A wealth of supporting material can be downloaded from the book’s CRC Press web page, including: Real-life data sets used in the text SAS and Stata programs used for examples in the text SAS and Stata programs for special techniques covered Sample size spreadsheet

Regression Analysis by Example

Author : Samprit Chatterjee,Ali S. Hadi
Publisher : John Wiley & Sons
Page : 421 pages
File Size : 45,7 Mb
Release : 2015-02-25
Category : Mathematics
ISBN : 9781119122739

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Regression Analysis by Example by Samprit Chatterjee,Ali S. Hadi Pdf

Praise for the Fourth Edition: "This book is . . . an excellent source of examples for regression analysis. It has been and still is readily readable and understandable." —Journal of the American Statistical Association Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. Regression Analysis by Example, Fifth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The book offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression. The book now includes a new chapter on the detection and correction of multicollinearity, while also showcasing the use of the discussed methods on newly added data sets from the fields of engineering, medicine, and business. The Fifth Edition also explores additional topics, including: Surrogate ridge regression Fitting nonlinear models Errors in variables ANOVA for designed experiments Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions, the required assumptions, and the evaluated success of each technique. Additionally, methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software package R. Regression Analysis by Example, Fifth Edition is suitable for anyone with an understanding of elementary statistics.