Statistics with STATA Version 12

  • Filename: statistics-with-stata-version-12.
  • ISBN: 9780840064639
  • Release Date: 2012-08-28
  • Number of pages: 496
  • Author: Lawrence Hamilton
  • Publisher: Cengage Learning

For students and practicing researchers alike, STATISTICS WITH STATA Version 12 opens the door to the full use of the popular Stata program--a fast, flexible, and easy-to-use environment for data management and statistics analysis. Integrating Stata’s impressive graphics, this comprehensive book presents hundreds of examples showing how to apply Stata to accomplish a wide variety of tasks. Like Stata itself, STATISTICS WITH STATA will make it easier for readers to move fluidly through the world of modern data analysis. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

A Gentle Introduction to Stata Second Edition

  • Filename: a-gentle-introduction-to-stata-second-edition.
  • ISBN: 9781597180436
  • Release Date: 2008-09-03
  • Number of pages: 333
  • Author: Alan C. Acock
  • Publisher: Stata Press

Updated to reflect the new features of Stata 11, A Gentle Introduction to Stata, Third Edition continues to help new Stata users become proficient in Stata. After reading this introductory text, you will be able to enter, build, and manage a data set as well as perform fundamental statistical analyses. New to the Third Edition A new chapter on the analysis of missing data and the use of multiple-imputation methods Extensive revision of the chapter on ANOVA Additional material on the application of power analysis The book covers data management; good work habits, including the use of basic do-files; basic exploratory statistics, including graphical displays; and analyses using the standard array of basic statistical tools, such as correlation, linear and logistic regression, and parametric and nonparametric tests of location and dispersion. Rather than splitting these topics by their Stata implementation, the material on graphics and postestimation are woven into the text in a natural fashion. The author teaches Stata commands by using the menus and dialog boxes while still stressing the value of do-files. Each chapter includes exercises and real data sets are used throughout.

Statistical Modeling for Biomedical Researchers

  • Filename: statistical-modeling-for-biomedical-researchers.
  • ISBN: 9780521849524
  • Release Date: 2009-02-12
  • Number of pages: 522
  • Author: William D. Dupont
  • Publisher: Cambridge University Press

A second edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods.

Using Stata for Quantitative Analysis

  • Filename: using-stata-for-quantitative-analysis.
  • ISBN: 9781412997119
  • Release Date: 2012
  • Number of pages: 225
  • Author: Kyle C. Longest
  • Publisher: SAGE

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.

An Introduction to Stata for Health Researchers

  • Filename: an-introduction-to-stata-for-health-researchers.
  • ISBN: 9781597180108
  • Release Date: 2006-03-15
  • Number of pages: 326
  • Author: Svend Juul
  • Publisher: Stata Press

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

An Introduction to Survival Analysis Using Stata Second Edition

  • Filename: an-introduction-to-survival-analysis-using-stata-second-edition.
  • ISBN: 9781597180412
  • Release Date: 2008-05-15
  • Number of pages: 372
  • Author: Mario Cleves
  • Publisher: Stata Press

An Introduction to Survival Analysis Using Stata, Third Edition provides the foundation to understand various approaches for analyzing time-to-event data. It is not only a tutorial for learning survival analysis but also a valuable reference for using Stata to analyze survival data. Although the book assumes knowledge of statistical principles, simple probability, and basic Stata, it takes a practical, rather than mathematical, approach to the subject. This updated third edition highlights new features of Stata 11, including competing-risks analysis and the treatment of missing values via multiple imputation. Other additions include new diagnostic measures after Cox regression, Stata's new treatment of categorical variables and interactions, and a new syntax for obtaining prediction and diagnostics after Cox regression. After reading this book, you will understand the formulas and gain intuition about how various survival analysis estimators work and what information they exploit. You will also acquire deeper, more comprehensive knowledge of the syntax, features, and underpinnings of Stata's survival analysis routines.

Understanding Political Science Statistics Using Stata

  • Filename: understanding-political-science-statistics-using-stata.
  • ISBN: 1138146366
  • Release Date: 2016-05-11
  • Number of pages: 176
  • Author: Ellen Seljan
  • Publisher:

This manual walks students through the procedures for analysis in Stata and provides exercises that go hand-in-hand with online data sets. The manual complements the textbook Understanding Political Science Statistics: Observations and Expectations in Political Analysis, by Peter Galderisi, making it easy to use alongside the book in a course or as a stand-alone guide to using Stata. Seljan demonstrates how to run commands in Stata for different kinds of research questions and shows the results of the analyses, using lots of annotated screenshots from Stata version 12 (but compatible with all versions, including Stata Small). Students will be guided through standard processes replete with examples and exercises to ready them for future work in political science research. The diverse group of data sets provided include subsamples of both the 2008 and 2012 American National Election Studies, a Eurobarometer survey, single year and longitudinal congressional district files, the 2012 Comparative Congressional Election Study, and a comparative, crossnational country file. Versions with reduced case numbers and variables are also included that are compatible with Stata Small. This manual (and a parallel SPSS manual) are available as stand-alone products or packaged with the textbook Understanding Political Science Statistics.

Practical Statistics

  • Filename: practical-statistics.
  • ISBN: 9781412974943
  • Release Date: 2011
  • Number of pages: 513
  • Author: David Kremelberg
  • Publisher: SAGE

This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in SPSS, Stata, and other programmes. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. Key Features: - Step-by-step instructions on how to run statistical tests enables students to run complex statistical tests quickly, efficiently, and accurately. - Clear explanations of the tests allow students to better understand the theory behind the tests and their proper use. - Includes instructions using both the menus and syntax beginners need. - Provides more advanced students the direction to run quick and efficient analyses (syntax). This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioural sciences who need assistance in understanding the various statistical packages.

Data Analysis Using Stata

  • Filename: data-analysis-using-stata.
  • ISBN: 9781597180078
  • Release Date: 2005-06-15
  • Number of pages: 378
  • Author: Ulrich Kohler
  • Publisher: Stata Press

Provides an introduction to Stata with an emphasis on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks. This book gives an introduction to the Stata interface and then proceeds with a discussion of Stata syntax and simple programming tools like for each loops.

Linear Mixed Models

  • Filename: linear-mixed-models.
  • ISBN: 9781466560994
  • Release Date: 2014-07-17
  • Number of pages: 440
  • Author: Brady T. West
  • Publisher: CRC Press

Highly recommended by JASA, Technometrics, and other journals, the first edition of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition continues to lead readers step by step through the process of fitting LMMs. This second edition covers additional topics on the application of LMMs that are valuable for data analysts in all fields. It also updates the case studies using the latest versions of the software procedures and provides up-to-date information on the options and features of the software procedures available for fitting LMMs in SAS, SPSS, Stata, R/S-plus, and HLM. New to the Second Edition A new chapter on models with crossed random effects that uses a case study to illustrate software procedures capable of fitting these models Power analysis methods for longitudinal and clustered study designs, including software options for power analyses and suggested approaches to writing simulations Use of the lmer() function in the lme4 R package New sections on fitting LMMs to complex sample survey data and Bayesian approaches to making inferences based on LMMs Updated graphical procedures in the software packages Substantially revised index to enable more efficient reading and easier location of material on selected topics or software options More practical recommendations on using the software for analysis A new R package (WWGbook) that contains all of the data sets used in the examples Ideal for anyone who uses software for statistical modeling, this book eliminates the need to read multiple software-specific texts by covering the most popular software programs for fitting LMMs in one handy guide. The authors illustrate the models and methods through real-world examples that enable comparisons of model-fitting options and results across the software procedures.

Research Methods and Statistics in Psychology

  • Filename: research-methods-and-statistics-in-psychology.
  • ISBN: 1444170112
  • Release Date: 2014
  • Number of pages: 773
  • Author: Hugh Coolican
  • Publisher: Psychology Press

This sixth edition of Research Methods and Statistics in Psychology has been fully revised and updated, providing students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today. Assuming no prior knowledge, this bestselling text takes you through every stage of your research project giving advice on planning and conducting studies, analysing data and writing up reports. The book provides clear coverage of statistical procedures, and includes everything needed from nominal level tests to multi-factorial ANOVA designs, multiple regression and log linear analysis. It features detailed and illustrated SPSS instructions for all these procedures eliminating the need for an extra SPSS textbook. New features in the sixth edition include: "Tricky bits" - in-depth notes on the things that students typically have problems with, including common misunderstandings and likely mistakes. Improved coverage of qualitative methods and analysis, plus updates to Grounded Theory, Interpretive Phenomenological Analysis and Discourse Analysis. A full and recently published journal article using Thematic Analysis, illustrating how articles appear in print. Discussion of contemporary issues and debates, including recent coverage of journals' reluctance to publish replication of studies. Fully updated online links, offering even more information and useful resources, especially for statistics. Each chapter contains a glossary, key terms and newly integrated exercises, ensuring that key concepts are understood. A companion website ( provides additional exercises, revision flash cards, links to further reading and data for use with SPSS.

Applied Longitudinal Data Analysis Modeling Change and Event Occurrence

  • Filename: applied-longitudinal-data-analysis-modeling-change-and-event-occurrence.
  • ISBN: 9780195152968
  • Release Date: 2003-03-27
  • Number of pages: 672
  • Author: Judith D. Singer
  • Publisher: Oxford University Press, USA

Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. Beyond these natural processes and events, external forces and interventions instigate and disrupt change: test scores may rise after a coaching course, drug abusers may remain abstinent after residential treatment. By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives. Applied Longitudinal Data Analysis is a much-needed professional book for empirical researchers and graduate students in the behavioral, social, and biomedical sciences. It offers the first accessible in-depth presentation of two of today's most popular statistical methods: multilevel models for individual change and hazard/survival models for event occurrence (in both discrete- and continuous-time). Using clear, concise prose and real data sets from published studies, the authors take you step by step through complete analyses, from simple exploratory displays that reveal underlying patterns through sophisticated specifications of complex statistical models.Applied Longitudinal Data Analysis offers readers a private consultation session with internationally recognized experts and represents a unique contribution to the literature on quantitative empirical methods.Visit for: DT Downloadable data sets DT Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and more DT Additional material for data analysis

Applied Statistics Using Stata

  • Filename: applied-statistics-using-stata.
  • ISBN: 9781473987906
  • Release Date: 2016-11-08
  • Number of pages: 376
  • Author: Mehmet Mehmetoglu
  • Publisher: SAGE

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.

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