Data Management Using Stata

Author : Michael N Mitchell,Taylor & Francis Group
Publisher : Stata Press
Page : 512 pages
File Size : 54,8 Mb
Release : 2020-06-25
Category : Electronic
ISBN : 1597183180

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Data Management Using Stata by Michael N Mitchell,Taylor & Francis Group Pdf

This second edition of Data Management Using Stata focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout to reflect new data management features that have been added over the last 10 years. Such features include the ability to read and write a wide variety of file formats, the ability to write highly customized Excel files, the ability to have multiple Stata datasets open at once, and the ability to store and manipulate string variables stored as Unicode. Further, this new edition includes a new chapter illustrating how to write Stata programs for solving data management tasks. As in the original edition, the chapters are organized by data management areas: reading and writing datasets, cleaning data, labeling datasets, creating variables, combining datasets, processing observations across subgroups, changing the shape of datasets, and programming for data management. Within each chapter, each section is a self-contained lesson illustrating a particular data management task (for instance, creating date variables or automating error checking) via examples. This modular design allows you to quickly identify and implement the most common data management tasks without having to read background information first. In addition to the "nuts and bolts" examples, author Michael Mitchell alerts users to common pitfalls (and how to avoid them) and provides strategic data management advice. This book can be used as a quick reference for solving problems as they arise or can be read as a means for learning comprehensive data management skills. New users will appreciate this book as a valuable way to learn data management, while experienced users will find this information to be handy and time saving--there is a good chance that even the experienced user will learn some new tricks.

Author : Michael N. Mitchell
Publisher : CRC Press
Page : 408 pages
File Size : 50,6 Mb
Release : 2010-05-24
Category : Business & Economics
ISBN : UOM:39076002914377

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Data Management Using Stata by Michael N. Mitchell Pdf

Using simple language and illustrative examples, this book comprehensively covers data management tasks that bridge the gap between raw data and statistical analysis. Rather than focus on clusters of commands, the author takes a modular approach that enables readers to quickly identify and implement the necessary task without having to access background information first. Each section in the chapters presents a self-contained lesson that illustrates a particular data management task via examples, such as creating data variables and automating error checking. The text also discusses common pitfalls and how to avoid them and provides strategic data management advice. Ideal for both beginning statisticians and experienced users, this handy book helps readers solve problems and learn comprehensive data management skills.

Author : Michael N Mitchell
Publisher : Unknown
Page : 128 pages
File Size : 53,6 Mb
Release : 2010
Category : Data editing
ISBN : 6000038992

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Data Management Using Stata : a Practical Handbook by Michael N Mitchell Pdf

Author : J. Scott Long
Publisher : Stata Press
Page : 379 pages
File Size : 55,7 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.

Author : Christophe Lalanne,Mounir Mesbah
Publisher : Elsevier
Page : 134 pages
File Size : 45,9 Mb
Release : 2016-09-06
Category : Computers
ISBN : 9780081010846

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Biostatistics and Computer-based Analysis of Health Data using Stata by Christophe Lalanne,Mounir Mesbah Pdf

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epideomological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential Stata packages and commands. Provides detailed examples of the use of Stata for common biostatistical tasks in medical research Features a work program structured around the four previous chapters and a series of practical exercises with commented corrections Includes an appendix to help the reader familiarize themselves with additional packages and commands Focuses on the practice of biostatistical methods that are essential to clinical research, epidemiology, and analysis of biomedical data

Author : Lisa Daniels,Nicholas Minot
Publisher : SAGE Publications
Page : 513 pages
File Size : 48,9 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.

Author : Ulrich Kohler (Dr. phil.),Frauke Kreuter
Publisher : Stata Press
Page : 399 pages
File Size : 49,8 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.

Author : Brian S. Everitt,Sophia Rabe-Hesketh
Publisher : CRC Press
Page : 354 pages
File Size : 54,6 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

Author : Kyle C. Longest
Publisher : SAGE Publications
Page : 282 pages
File Size : 40,7 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.

Author : Erik Mooi,Marko Sarstedt,Irma Mooi-Reci
Publisher : Springer
Page : 429 pages
File Size : 55,6 Mb
Release : 2017-11-01
Category : Business & Economics
ISBN : 9789811052187

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Market Research by Erik Mooi,Marko Sarstedt,Irma Mooi-Reci Pdf

This book is an easily accessible and comprehensive guide which helps make sound statistical decisions, perform analyses, and interpret the results quickly using Stata. It includes advanced coverage of ANOVA, factor, and cluster analyses in Stata, as well as essential regression and descriptive statistics. It is aimed at those wishing to know more about the process, data management, and most commonly used methods in market research using Stata. The book offers readers an overview of the entire market research process from asking market research questions to collecting and analyzing data by means of quantitative methods. It is engaging, hands-on, and includes many practical examples, tips, and suggestions that help readers apply and interpret quantitative methods, such as regression, factor, and cluster analysis. These methods help researchers provide companies with useful insights.

Author : Michael N. Mitchell
Publisher : Stata Press
Page : 489 pages
File Size : 44,9 Mb
Release : 2008-06-04
Category : Computers
ISBN : 9781597180399

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A Visual Guide to Stata Graphics, Second Edition by Michael N. Mitchell Pdf

The Power of Stata Graphics at Your Fingertips Whether you are new to Stata graphics or a seasoned veteran, this book teaches you how to use Stata to make high-quality graphs that stand out and enhance statistical results. With over 900 illustrated examples and quick-reference tabs, it offers a guide to creating and customizing graphs for any type of statistical data using either Stata commands or the Graph Editor. The author displays each graph example in full color with simple and clear instructions. He shows how to produce various types of graph elements, including marker symbols, lines, legends, captions, titles, axis labels, and grid lines. Reflecting the new graphics features of Stata, this thoroughly updated and expanded edition contains a new chapter that explains how to exploit the power of the new Graph Editor. This edition also includes additional examples and illustrates nearly every example with the Graph Editor.

Author : Mario Cleves
Publisher : Stata Press
Page : 398 pages
File Size : 43,7 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.

Author : Prasad Kothari
Publisher : Packt Publishing Ltd
Page : 176 pages
File Size : 41,7 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.

Author : Robert A. Muenchen,Joseph M. Hilbe
Publisher : Springer Science & Business Media
Page : 530 pages
File Size : 42,8 Mb
Release : 2010-04-26
Category : Computers
ISBN : 9781441913180

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R for Stata Users by Robert A. Muenchen,Joseph M. Hilbe Pdf

Stata is the most flexible and extensible data analysis package available from a commercial vendor. R is a similarly flexible free and open source package for data analysis, with over 3,000 add-on packages available. This book shows you how to extend the power of Stata through the use of R. It introduces R using Stata terminology with which you are already familiar. It steps through more than 30 programs written in both languages, comparing and contrasting the two packages' different approaches. When finished, you will be able to use R in conjunction with Stata, or separately, to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. A glossary defines over 50 R terms using Stata jargon and again using more formal R terminology. The table of contents and index allow you to find equivalent R functions by looking up Stata commands and vice versa. The example programs and practice datasets for both R and Stata are available for download.

Author : Svend Juul
Publisher : Stata Press
Page : 346 pages
File Size : 54,7 Mb
Release : 2006-03-15
Category : Computers
ISBN : 9781597180108

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An Introduction to Stata for Health Researchers by Svend Juul Pdf

Designed to assist those working in health research, An Introduction to Stata for Health Researchers explains how to maximize the versatile Stata 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.