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An Introduction to Statistics and Data Analysis Using Stata®

Author : Lisa Daniels
Publisher : SAGE Publications
Page : 513 pages
File Size : 23,21 MB
Release : 2019-01-11
Category : Social Science
ISBN : 1506371825

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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.

Data Analysis Using Stata

Author : Ulrich Kohler (Dr. phil.)
Publisher : Stata Press
Page : 399 pages
File Size : 25,7 MB
Release : 2005-06-15
Category : Computers
ISBN : 1597180076

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"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.

The Workflow of Data Analysis Using Stata

Author : J. Scott Long
Publisher : Stata Press
Page : 379 pages
File Size : 21,41 MB
Release : 2008-12-10
Category : Mathematics
ISBN : 9781597180474

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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.

Market Research

Author : Erik Mooi
Publisher : Springer
Page : 429 pages
File Size : 30,76 MB
Release : 2017-11-01
Category : Business & Economics
ISBN : 9811052182

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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.

Using Stata for Quantitative Analysis

Author : Kyle C. Longest
Publisher : SAGE
Page : 241 pages
File Size : 16,92 MB
Release : 2012
Category : Computers
ISBN : 1412997119

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Using Stata for Quantitative Analysis is an applied, self-teaching resource. It is written in such a way that a reader with no experience with statistical software can sit down and be working with data in a very short amount of time. The author proposes to teach the language of Stata from an intuitive perspective, furthering students’ overall retention, using many screen shots from Stata to guide students.

Agricultural Statistical Data Analysis Using Stata

Author : George Boyhan
Publisher : CRC Press
Page : 264 pages
File Size : 39,33 MB
Release : 2013-06-04
Category : Mathematics
ISBN : 1466585862

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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 variet

Biostatistics and Computer-based Analysis of Health Data using Stata

Author : Christophe Lalanne
Publisher : Elsevier
Page : 136 pages
File Size : 39,70 MB
Release : 2016-09-06
Category : Computers
ISBN : 0081010842

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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

Handbook of Statistical Analyses Using Stata

Author : Brian S. Everitt
Publisher : CRC Press
Page : 354 pages
File Size : 20,98 MB
Release : 2006-11-15
Category : Mathematics
ISBN : 1466580577

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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

An Introduction to Survival Analysis Using Stata, Second Edition

Author : Mario Cleves
Publisher : Stata Press
Page : 398 pages
File Size : 30,58 MB
Release : 2008-05-15
Category : Computers
ISBN : 1597180416

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"[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.

Data Science for Business and Decision Making

Author : Luiz Paulo Fávero
Publisher : Academic Press
Page : 1240 pages
File Size : 31,33 MB
Release : 2019-04-11
Category : Business & Economics
ISBN : 0128112174

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Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs