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.

Statistics with Stata

  • Filename: statistics-with-stata.
  • ISBN: STANFORD:36105113974039
  • Release Date: 2004
  • Number of pages: 409
  • Author: Lawrence C. Hamilton
  • Publisher: Duxbury Press

Stata is a powerful data analysis software. This handbook was designed to bridge the gap between textbooks and Stata's own documentation. In this intermediary role, STATISTICS WITH STATA uses easy to follow tutorials to demonstrate how to use Stata to accomplish some of the most common statistical tasks. While Stata's user documentation is over 4,000 pages, this tidy manual is just 400 pages, and introduces students and practitioners to both basic and advanced features of Stata.

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.

Multilevel and Longitudinal Modeling Using Stata Second Edition

  • Filename: multilevel-and-longitudinal-modeling-using-stata-second-edition.
  • ISBN: 9781597180405
  • Release Date: 2008-02-07
  • Number of pages: 562
  • Author: Sophia Rabe-Hesketh
  • Publisher: Stata Press

This is a book about applied multilevel and longitudinal modeling. Other terms for multilevel models include hierarchical models, random-effects or random-coefficient models, mixed-effects models, or simply mixed models. Longitudinal data are also referred to as panel data, repeated measures, or cross-sectional time series. A popular type of multilevel model for longitudinal data is the growth-curve model. Our emphasis is on explaining the models and their assumptions, applying the methods to real data, and interpreting results.

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.

Regression with Graphics

  • Filename: regression-with-graphics.
  • ISBN: UOM:39015055714243
  • Release Date: 1992
  • Number of pages: 363
  • Author: Lawrence C. Hamilton
  • Publisher: Duxbury Press

This text demonstrates how computing power has expanded the role of graphics in analyzing, exploring, and experimenting with raw data. It is primarily intended for students whose research requires more than an introductory statistics course, but who may not have an extensive background in rigorous mathematics. It's also suitable for courses with students of varying mathematical abilities. Hamilton provides students with a practical, realistic, and graphical approach to regression analysis so that they are better prepared to solve real, sometimes messy problems. For students and professors who prefer a heavier mathematical emphasis, the author has included optional sections throughout the text where the formal, mathematical development of the material is explained in greater detail. REGRESSION WITH GRAPHICS is appropriate for use with any (or no) statistical computer package. However, Hamilton used STAT A in the development of the text due to its ease of application and sophisticated graphics capabilities. (STATA is available in a student package from Duxbury including a tutorial by the same author: Hamilton, STATISTICS WITH STAT A, 5.0, 1998; ISBN: 0-534-31874-6.)

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.

Statistics for People Who Think They Hate Statistics

  • Filename: statistics-for-people-who-think-they-hate-statistics.
  • ISBN: 9781452238623
  • Release Date: 2010-09-28
  • Number of pages: 472
  • Author: Neil J. Salkind
  • Publisher: SAGE

"Your book has changed my perception and attitude towards statistics. It is very well written, the language is completely user friendly and the progression of new concepts within each chapter is fantastic. Although my class is only on chapter 5 at this point, I have found my interest in the concepts and order in which you introduce them becoming greater. I thank you with very much appreciation as I was someone who dreaded taking statistics and thought I hated it!" - Jessica Maes, graduate student The Fourth Edition of Neil J. Salkind's bestselling text introduces students to the fundamentals of basic statistics in an informative, personable, and unintimidating way. The author expertly guides students through various statistical procedures, beginning with basic descriptive statistics and correlation and graphical representation of data and ending with inferential techniques including analysis of variance.

Statistics in Criminal Justice

  • Filename: statistics-in-criminal-justice.
  • ISBN: 9781461491705
  • Release Date: 2013-12-11
  • Number of pages: 783
  • Author: David Weisburd
  • Publisher: Springer Science & Business Media

Statistics in Criminal Justice takes an approach that emphasizes the application and interpretation of statistics in research in crime and justice. This text is meant for both students and researchers who want to gain a basic understanding of common statistical methods used in this field. In general, the text relies on a building-block approach, meaning that each chapter helps to prepare the student for the chapters that follow. It also means that the level of sophistication of the text increases as the text progresses. Throughout the text there is an emphasis on comprehension and interpretation, rather than computation. However, as the statistical methods discussed become more complex and demanding to compute, there is increasing use and integration of statistical software. This approach is meant to provide the reader with an accessible, yet sophisticated understanding of statistics that can be used to examine real-life criminal justice problems with popular statistical software programs. The primary goal of the text is to give students and researchers a basic understanding of statistical concepts and methods that will leave them with the confidence and the tools for tackling more complex problems on their own. New to the 4th Edition · New chapter on experimental design and the analysis of experimental data. · New chapter on multi-level models, including growth-curve models. · New computer exercises throughout the text to illustrate the use of both SPSS and Stata. · Revision of exercises at the end of each chapter that places greater emphasis on using statistical software. · Additional resources on the text’s web site for instructors and students, including answers to selected problems, syntax for replicating text examples in SPSS and Stata, and other materials that can be used to supplement the use of the text.

Applied Longitudinal Data Analysis

  • Filename: applied-longitudinal-data-analysis.
  • ISBN: 0199760721
  • Release Date: 2003-03-27
  • Number of pages: 644
  • Author: Judith D. Singer
  • Publisher: Oxford University Press

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: · Downloadable data sets · Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and more · Additional material for data analysis

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.

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.

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.

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