Applied Statistics Using Stata
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Applied Statistics Using Stata
Author | : Mehmet Mehmetoglu,Tor Georg Jakobsen |
Publsiher | : SAGE |
Total Pages | : 421 |
Release | : 2022-04-26 |
Genre | : Social Science |
ISBN | : 9781529788464 |
Download Applied Statistics Using Stata Book in PDF, Epub and Kindle
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.
Applied Statistics Using Stata
Author | : Mehmet Mehmetoglu,Tor Georg Jakobsen |
Publsiher | : SAGE |
Total Pages | : 421 |
Release | : 2022-04-26 |
Genre | : Social Science |
ISBN | : 9781529788464 |
Download Applied Statistics Using Stata Book in PDF, Epub and Kindle
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.
Statistics Using Stata
Author | : Sharon Lawner Weinberg,Sarah Knapp Abramowitz |
Publsiher | : Cambridge University Press |
Total Pages | : 681 |
Release | : 2016-09-19 |
Genre | : Mathematics |
ISBN | : 9781107461185 |
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Engaging and accessible, this comprehensive introduction to statistics integrates Stata commands with numerous examples based on real data.
Applied Statistics and Multivariate Data Analysis for Business and Economics
Author | : Thomas Cleff |
Publsiher | : Springer |
Total Pages | : 488 |
Release | : 2019-07-10 |
Genre | : Business & Economics |
ISBN | : 9783030177676 |
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This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.
An Introduction to Statistics and Data Analysis Using Stata
Author | : Lisa Daniels,Nicholas Minot |
Publsiher | : SAGE Publications |
Total Pages | : 513 |
Release | : 2019-01-11 |
Genre | : Social Science |
ISBN | : 9781506371825 |
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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.
Applied Meta Analysis with R and Stata
Author | : Ding-Geng (Din) Chen,Karl E. Peace |
Publsiher | : CRC Press |
Total Pages | : 457 |
Release | : 2021-03-30 |
Genre | : Computers |
ISBN | : 9780429592171 |
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Review of the First Edition: The authors strive to reduce theory to a minimum, which makes it a self-learning text that is comprehensible for biologists, physicians, etc. who lack an advanced mathematics background. Unlike in many other textbooks, R is not introduced with meaningless toy examples; instead the reader is taken by the hand and shown around some analyses, graphics, and simulations directly relating to meta-analysis... A useful hands-on guide for practitioners who want to familiarize themselves with the fundamentals of meta-analysis and get started without having to plough through theorems and proofs. —Journal of Applied Statistics Statistical Meta-Analysis with R and Stata, Second Edition provides a thorough presentation of statistical meta-analyses (MA) with step-by-step implementations using R/Stata. The authors develop analysis step by step using appropriate R/Stata functions, which enables readers to gain an understanding of meta-analysis methods and R/Stata implementation so that they can use these two popular software packages to analyze their own meta-data. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R/Stata packages and functions. What’s New in the Second Edition: Adds Stata programs along with the R programs for meta-analysis Updates all the statistical meta-analyses with R/Stata programs Covers fixed-effects and random-effects MA, meta-regression, MA with rare-event, and MA-IPD vs MA-SS Adds five new chapters on multivariate MA, publication bias, missing data in MA, MA in evaluating diagnostic accuracy, and network MA Suitable as a graduate-level text for a meta-data analysis course, the book is also a valuable reference for practitioners and biostatisticians (even those with little or no experience in using R or Stata) in public health, medical research, governmental agencies, and the pharmaceutical industry.
Handbook of Statistical Analyses Using Stata
Author | : Brian S. Everitt,Sophia Rabe-Hesketh |
Publsiher | : CRC Press |
Total Pages | : 354 |
Release | : 2006-11-15 |
Genre | : Mathematics |
ISBN | : 9781466580572 |
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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
Applied Ordinal Logistic Regression Using Stata
Author | : Xing Liu |
Publsiher | : SAGE Publications |
Total Pages | : 372 |
Release | : 2015-09-30 |
Genre | : Social Science |
ISBN | : 9781483319766 |
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The first book to provide a unified framework for both single-level and multilevel modeling of ordinal categorical data, Applied Ordinal Logistic Regression Using Stata helps readers learn how to conduct analyses, interpret the results from Stata output, and present those results in scholarly writing. Using step-by-step instructions, this non-technical, applied book leads students, applied researchers, and practitioners to a deeper understanding of statistical concepts by closely connecting the underlying theories of models with the application of real-world data using statistical software. An open-access website for the book contains data sets, Stata code, and answers to in-text questions.