Applied Statistics Using Stata PDF Download

Applied Statistics Using Stata PDF
Author: Mehmet Mehmetoglu
Publisher: SAGE
Size: 12.85 MB
Format: PDF, ePub, Docs
Category : Reference
Languages : en
Pages : 376
View: 5345

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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.

Statistics Using Stata PDF Download

Statistics Using Stata PDF
Author: Sharon Lawner Weinberg
Publisher: Cambridge University Press
Size: 50.34 MB
Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 660
View: 3737

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

Applied Ordinal Logistic Regression Using Stata PDF Download

Applied Ordinal Logistic Regression Using Stata PDF
Author: Xing Liu
Publisher: SAGE Publications
Size: 48.69 MB
Format: PDF, Docs
Category : Social Science
Languages : en
Pages : 552
View: 6643

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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 by Xing Liu 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 Introduction To Modern Econometrics Using Stata PDF Download

An Introduction to Modern Econometrics Using Stata PDF
Author: Christopher F. Baum
Publisher: Stata Press
Size: 77.32 MB
Format: PDF
Category : Business & Economics
Languages : en
Pages : 341
View: 4934

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Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata. As an expert in Stata, the author successfully guides readers from the basic elements of Stata to the core econometric topics. He first describes the fundamental components needed to effectively use Stata. The book then covers the multiple linear regression model, linear and nonlinear Wald tests, constrained least-squares estimation, Lagrange multiplier tests, and hypothesis testing of nonnested models. Subsequent chapters center on the consequences of failures of the linear regression model's assumptions. The book also examines indicator variables, interaction effects, weak instruments, underidentification, and generalized method-of-moments estimation. The final chapters introduce panel-data analysis and discrete- and limited-dependent variables and the two appendices discuss how to import data into Stata and Stata programming. Presenting many of the econometric theories used in modern empirical research, this introduction illustrates how to apply these concepts using Stata. The book serves both as a supplementary text for undergraduate and graduate students and as a clear guide for economists and financial analysts.

Applied Statistics And Multivariate Data Analysis For Business And Economics PDF Download

Applied Statistics and Multivariate Data Analysis for Business and Economics PDF
Author: Thomas Cleff
Publisher: Springer
Size: 14.83 MB
Format: PDF, ePub, Docs
Category : Business & Economics
Languages : en
Pages : 474
View: 4061

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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.

Biostatistics In Public Health Using Stata PDF Download

Biostatistics in Public Health Using STATA PDF
Author: Erick L. Suárez
Publisher: CRC Press
Size: 28.59 MB
Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 206
View: 4704

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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 epidemiolo

Using Stata For Quantitative Analysis PDF Download

Using Stata for Quantitative Analysis PDF
Author: Kyle C. Longest
Publisher: SAGE
Size: 78.15 MB
Format: PDF, Docs
Category : Social Science
Languages : en
Pages : 225
View: 7259

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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.

Biostatistics And Computer Based Analysis Of Health Data Using Stata PDF Download

Biostatistics and Computer based Analysis of Health Data using Stata PDF
Author: Christophe Lalanne
Publisher: Elsevier
Size: 24.86 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 134
View: 1538

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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 PDF Download

Handbook of Statistical Analyses Using Stata PDF
Author: Brian S. Everitt
Publisher: CRC Press
Size: 10.39 MB
Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 352
View: 4739

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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, 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

Handbook Of Statistical Analyses Using Stata Second Edition PDF Download

Handbook of Statistical Analyses Using Stata  Second Edition PDF
Author: Brian S. Everitt
Publisher: Chapman and Hall/CRC
Size: 57.94 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 224
View: 3415

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Stata - the powerful statistical software package - has streamlined data analysis, interpretation, and presentation for researchers and statisticians around the world. Because of its power and extensive features, however, the Stata manuals are quite detailed and extensive. The Second Edition of A Handbook of Statistical Analyses using Stata describes the features of the latest version of Stata - Version 6 - in a concise, convenient format. It gives new users a head start on using the program and offers experienced users a quick reference. The authors illustrate how Stata can be used to apply a variety of statistical techniques, including regression, survival analysis, and principal components. They outline Stata's value in: modeling complex data from longitudinal studies or surveys analyzing results from clinical trials or epidemiological studies using its powerful programming language to apply tailor-made analyses relatively simply Each chapter deals with a particular data set, identifies the appropriate analysis for it, and includes a brief account of the statistical background of the technique applied. However, the primary focus is on using Stata 6 and interpreting results. As such, this text complements the Stata manuals, offering both an ideal introduction to the program and a handy reference - perfect as a supplementary text for a second course in statistics.

Applied Statistics For The Social And Health Sciences PDF Download

Applied Statistics for the Social and Health Sciences PDF
Author: Rachel A. Gordon
Publisher: Routledge
Size: 54.85 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 742
View: 4993

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Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health science branches such as human development, public health, sociology, psychology, education, and social work in which students bring a wide range of mathematical skills and have a wide range of methodological affinities. For these students, a successful course in statistics will not only offer statistical content but will also help them develop an appreciation for how statistical techniques might answer some of the research questions of interest to them. This book is for use in a two-semester graduate course sequence covering basic univariate and bivariate statistics and regression models for nominal and ordinal outcomes, in addition to covering ordinary least squares regression. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature thorough integration of teaching statistical theory with teaching data processing and analysis teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set. This book is for a two-semester course. For a one-semester course, see http://www.routledge.com/9780415991544/