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A Visual Guide to Stata Graphics

A Visual Guide to Stata Graphics

Whether you are new to Stata graphics or a seasoned veteran this book will teach you how to use Stata to make publication-quality graphs that will stand out and enhance your statistical results. With over 1 200 illustrated examples and quick-reference tabs this book quickly guides you to the information you need for creating and customizing high-quality graphs for any type of statistical data. Each graph is displayed in full color with simple and clear instructions that illustrate how to create and customize graphs using Stata commands. Whether you use this book as a learning tool or a quick reference you will have the power of Stata graphics at your fingertips. | A Visual Guide to Stata Graphics

GBP 74.99
1

Applied Meta-Analysis with R and Stata

Applied Meta-Analysis with R and Stata

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. | Applied Meta-Analysis with R and Stata

GBP 44.99
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Event History Analysis With Stata 2nd Edition

Event History Analysis With Stata 2nd Edition

Nowadays event history analysis can draw on a well-established set of statistical tools for the description and causal analysis of event history data. The second edition of Event History Analysis with Stata provides an updated introduction to event history modeling along with many instructive Stata examples. Using the latest Stata software each of these practical examples develops a research question refers to useful substantive background information gives a short exposition of the underlying statistical concepts describes the organization of the input data and the application of the statistical Stata procedures and assists the reader in performing a substantive interpretation of the obtained results. Emphasising the strengths and limitations of event history model techniques in each field of application this book demonstrates that event history models provide a useful approach with which to uncover causal relationships or to map out a system of causal relations. It demonstrates how long-term processes can be studied and how changing context information on the micro meso and macro levels can be integrated easily into a dynamic analysis of longitudinal data. Event History Analysis with Stata is an invaluable resource for both novice students and researchers who need an introductory textbook and experienced researchers (from sociology economics political science pedagogy psychology or demography) who are looking for a practical handbook for their research. | Event History Analysis With Stata 2nd Edition

GBP 46.99
1

Introduction to Time Series Using Stata Revised Edition

Introduction to Time Series Using Stata Revised Edition

Introduction to Time Series Using Stata Revised Edition provides a step-by-step guide to essential time-series techniques–from the incredibly simple to the quite complex– and at the same time demonstrates how these techniques can be applied in the Stata statistical package. The emphasis is on an understanding of the intuition underlying theoretical innovations and an ability to apply them. Real-world examples illustrate the application of each concept as it is introduced and care is taken to highlight the pitfalls as well as the power of each new tool. The Revised Edition has been updated for Stata 16.

GBP 61.99
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A Gentle Introduction to Stata Revised Sixth Edition

A Gentle Introduction to Stata Revised Sixth Edition

Alan C. Acock's A Gentle Introduction to Stata Revised Sixth Edition is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text new users will be able to not only use Stata well but also learn new aspects of Stata. Acock assumes that the user is not familiar with any statistical software. This assumption of a blank slate is central to the structure and contents of the book. Acock starts with the basics; for example the part of the book that deals with data management begins with a careful and detailed example of turning survey data on paper into a Stata-ready dataset. When explaining how to go about basic exploratory statistical procedures Acock includes notes that will help the reader develop good work habits. This mixture of explaining good Stata habits and explaining good statistical habits continues throughout the book. Acock is quite careful to teach the reader all aspects of using Stata. He 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 (correlation linear and logistic regression and parametric and nonparametric tests of location and dispersion). He also successfully introduces some more advanced topics such as multiple imputation and multilevel modeling in a very approachable manner. Acock teaches Stata commands by using the menus and dialog boxes while still stressing the value of Stata commands and do-files. In this way he ensures that all types of users can build good work habits. Each chapter has exercises that the motivated reader can use to reinforce the material. The tone of the book is friendly and conversational without ever being glib or condescending. Important asides and notes about terminology are set off in boxes which makes the text easy to read without any convoluted twists or forward referencing. Rather than splitting topics by their Stata implementation Acock arranges the topics as they would appear in a basic statistics textbook; graphics and postestimation are woven into the material naturally. Real datasets such as the General Social Surveys from 2002 2006 and 2016 are used throughout the book. The focus of the book is especially helpful for those in the behavioral and social sciences because the presentation of basic statistical modeling is supplemented with discussions of effect sizes and standardized coefficients. Various selection criteria such as semipartial correlations are discussed for model selection. Acock also covers a variety of commands available for evaluating reliability and validity of measurements. The revised sixth edition is fully up to date for Stata 17 including updated discussion and images of Stata's interface and modern command syntax. In addition examples include new features such as the table command and collect suite for creating and exporting customized tables as well as the option for creating graphs with transparency.

GBP 59.99
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Microeconometrics Using Stata Second Edition Volumes I and II

Microeconometrics Using Stata Second Edition Volumes I and II

Microeconometrics Using Stata Second Edition is an invaluable reference for researchers and students interested in applied microeconometric methods. Like previous editions this text covers all the classic microeconometric techniques ranging from linear models to instrumental-variables regression to panel-data estimation to nonlinear models such as probit tobit Poisson and choice models. Each of these discussions has been updated to show the most modern implementation in Stata and many include additional explanation of the underlying methods. In addition the authors introduce readers to performing simulations in Stata and then use simulations to illustrate methods in other parts of the book. They even teach you how to code your own estimators in Stata. The second edition is greatly expanded—the new material is so extensive that the text now comprises two volumes. In addition to the classics the book now teaches recently developed econometric methods and the methods newly added to Stata. Specifically the book includes entirely new chapters on duration models randomized control trials and exogenous treatment effects endogenous treatment effects models for endogeneity and heterogeneity including finite mixture models structural equation models and nonlinear mixed-effects models spatial autoregressive models semiparametric regression lasso for prediction and inference Bayesian analysis Anyone interested in learning classic and modern econometric methods will find this the perfect companion. And those who apply these methods to their own data will return to this reference over and over as they need to implement the various techniques described in this book. | Microeconometrics Using Stata Second Edition Volumes I and II

GBP 150.00
1

An Introduction to Stata for Health Researchers

An Introduction to Stata for Health Researchers

An Introduction to Stata for Health Researchers Fifth Edition updates this classic book that has become a standard reference for health researchers. As with previous editions readers will learn to work effectively in Stata to perform data management compute descriptive statistics create meaningful graphs fit regression models and perform survival analysis. The fifth edition adds examples of performing power precision and sample-size analysis; working with Unicode characters; managing data with ICD-9 and ICD-10 codes; and creating customized tables. With many worked examples and downloadable datasets this text is the ideal resource for hands-on learning whether for students in a statistics course or for researchers in fields such as epidemiology biostatistics and public health who are learning to use Stata's tools for health research.

GBP 59.99
1

Microeconometrics Using Stata Second Edition Volume I: Cross-Sectional and Panel Regression Models

Microeconometrics Using Stata Second Edition Volume I: Cross-Sectional and Panel Regression Models

Microeconometrics Using Stata Second Edition is an invaluable reference for researchers and students interested in applied microeconometric methods. Like previous editions this text covers all the classic microeconometric techniques ranging from linear models to instrumental-variables regression to panel-data estimation to nonlinear models such as probit tobit Poisson and choice models. Each of these discussions has been updated to show the most modern implementation in Stata and many include additional explanation of the underlying methods. In addition the authors introduce readers to performing simulations in Stata and then use simulations to illustrate methods in other parts of the book. They even teach you how to code your own estimators in Stata. The second edition is greatly expanded—the new material is so extensive that the text now comprises two volumes. In addition to the classics the book now teaches recently developed econometric methods and the methods newly added to Stata. Specifically the book includes entirely new chapters on duration models randomized control trials and exogenous treatment effects endogenous treatment effects models for endogeneity and heterogeneity including finite mixture models structural equation models and nonlinear mixed-effects models spatial autoregressive models semiparametric regression lasso for prediction and inference Bayesian analysis Anyone interested in learning classic and modern econometric methods will find this the perfect companion. And those who apply these methods to their own data will return to this reference over and over as they need to implement the various techniques described in this book. | Microeconometrics Using Stata Second Edition Volume I: Cross-Sectional and Panel Regression Models

GBP 89.99
1

Microeconometrics Using Stata Second Edition Volume II: Nonlinear Models and Casual Inference Methods

Microeconometrics Using Stata Second Edition Volume II: Nonlinear Models and Casual Inference Methods

Microeconometrics Using Stata Second Edition is an invaluable reference for researchers and students interested in applied microeconometric methods. Like previous editions this text covers all the classic microeconometric techniques ranging from linear models to instrumental-variables regression to panel-data estimation to nonlinear models such as probit tobit Poisson and choice models. Each of these discussions has been updated to show the most modern implementation in Stata and many include additional explanation of the underlying methods. In addition the authors introduce readers to performing simulations in Stata and then use simulations to illustrate methods in other parts of the book. They even teach you how to code your own estimators in Stata. The second edition is greatly expanded—the new material is so extensive that the text now comprises two volumes. In addition to the classics the book now teaches recently developed econometric methods and the methods newly added to Stata. Specifically the book includes entirely new chapters on duration models randomized control trials and exogenous treatment effects endogenous treatment effects models for endogeneity and heterogeneity including finite mixture models structural equation models and nonlinear mixed-effects models spatial autoregressive models semiparametric regression lasso for prediction and inference Bayesian analysis Anyone interested in learning classic and modern econometric methods will find this the perfect companion. And those who apply these methods to their own data will return to this reference over and over as they need to implement the various techniques described in this book. | Microeconometrics Using Stata Second Edition Volume II: Nonlinear Models and Casual Inference Methods

GBP 89.99
1

Data Management Using Stata A Practical Handbook

Data Management Using Stata A Practical Handbook

This second edition of Data Management Using Stata focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout to reflect new data management features that have been added over the last 10 years. Such features include the ability to read and write a wide variety of file formats the ability to write highly customized Excel files the ability to have multiple Stata datasets open at once and the ability to store and manipulate string variables stored as Unicode. Further this new edition includes a new chapter illustrating how to write Stata programs for solving data management tasks. As in the original edition the chapters are organized by data management areas: reading and writing datasets cleaning data labeling datasets creating variables combining datasets processing observations across subgroups changing the shape of datasets and programming for data management. Within each chapter each section is a self-contained lesson illustrating a particular data management task (for instance creating date variables or automating error checking) via examples. This modular design allows you to quickly identify and implement the most common data management tasks without having to read background information first. In addition to the “nuts and bolts” examples author Michael Mitchell alerts users to common pitfalls (and how to avoid them) and provides strategic data management advice. This book can be used as a quick reference for solving problems as they arise or can be read as a means for learning comprehensive data management skills. New users will appreciate this book as a valuable way to learn data management while experienced users will find this information to be handy and time saving—there is a good chance that even the experienced user will learn some new tricks. | Data Management Using Stata A Practical Handbook

GBP 61.99
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Health Econometrics Using Stata

Health Econometrics Using Stata

Health Econometrics Using Stata by Partha Deb Edward C. Norton and Willard G. Manning provides an excellent overview of the methods used to analyze data on healthcare expenditure and use. Aimed at researchers graduate students and practitioners this book introduces readers to widely used methods shows them how to perform these methods in Stata and illustrates how to interpret the results. Each method is discussed in the context of an example using an extract from the Medical Expenditure Panel Survey. After the overview chapters the book provides excellent introductions to a series of topics aimed specifically at those analyzing healthcare expenditure and use data. The basic topics of linear regression the generalized linear model and log and Box-Cox models are covered with a tight focus on the problems presented by these data. Using this foundation the authors cover the more advanced topics of models for continuous outcome with mass points count models and models for heterogeneous effects. Finally they discuss endogeneity and how to address inference questions using data from complex surveys. The authors use their formidable experience to guide readers toward useful methods and away from less recommended ones. Their discussion of health econometric myths and the chapter presenting a framework for approaching health econometric estimation problems are especially useful for this aspect.

GBP 55.99
1

A Step-by-Step Guide to Exploratory Factor Analysis with Stata

A Step-by-Step Guide to Exploratory Factor Analysis with Stata

This is a concise easy to use step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using Stata. In this book Dr. Watkins systematically reviews each decision step in EFA with screen shots of Stata code and recommends evidence-based best practice procedures. This is an eminently applied practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon and formula to help facilitate grasp of the key issues users will face when applying EFA along with how to implement interpret and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews. This is a valuable resource for upper level undergraduate and postgraduate students as well as for more experienced researchers undertaking multivariate or structure equation modeling courses across the behavioral medical and social sciences. | A Step-by-Step Guide to Exploratory Factor Analysis with Stata

GBP 42.99
1

Interpreting and Visualizing Regression Models Using Stata

Interpreting and Visualizing Regression Models Using Stata

Interpreting and Visualizing Regression Models Using Stata Second Edition provides clear and simple examples illustrating how to interpret and visualize a wide variety of regression models. Including over 200 figures the book illustrates linear models with continuous predictors (modeled linearly using polynomials and piecewise) interactions of continuous predictors categorical predictors interactions of categorical predictors and interactions of continuous and categorical predictors. The book also illustrates how to interpret and visualize results from multilevel models models where time is a continuous predictor models with time as a categorical predictor nonlinear models (such as logistic or ordinal logistic regression) and models involving complex survey data. The examples illustrate the use of the margins marginsplot contrast and pwcompare commands. This new edition reflects new and enhanced features added to Stata most importantly the ability to label statistical output using value labels associated with factor variables. As a result output regarding marital status is labeled using intuitive labels like Married and Unmarried instead of using numeric values such as 1 and 2. All the statistical output in this new edition capitalizes on this new feature emphasizing the interpretation of results based on variables labeled using intuitive value labels. Additionally this second edition illustrates other new features such as using transparency in graphics to more clearly visualize overlapping confidence intervals and using small sample-size estimation with mixed models. If you ever find yourself wishing for simple and straightforward advice about how to interpret and visualize regression models using Stata this book is for you.

GBP 59.99
1

Multilevel Model Foundations Monopoly Data and Stata

Multilevel Model Foundations Monopoly Data and Stata

This book introduces the foundations of multilevel models using Monopoly® rent data from the classic board game and the statistical program Stata®. Widespread experience with the game means many readers have a head start on understanding these models. The small-data set 132 rent values for 22 properties clustered by the four sides of the playing board combines with extensive graphical displays of data and results so all readers can see core multilevel ideas in action at a granular level. Two chapters on standard statistical models one-way analysis of variance and multiple regression help readers see how multilevel models rely on but also extend these monolevel ideas. Chapters present three basic multilevel models for cross-sectional analyses – analysis of variance analysis of covariance and random coefficients regression – and one basic developmental model for longitudinal analyses. Troubleshooting guidance combined with close examination of data patterns and careful inspection of model parameters all help readers better grasp what model results mean when model results should or should not be trusted and how model results link back to core theoretical questions. Consequently readers will develop a sense of best practices for building and diagnosing their own multilevel models. Those who complete the volume can readily apply what they have learned to more complex datasets and models and adapt available online Stata do files to those projects. Any social scientist working with data clustered in time in space or in both and seeking to learn more about how to use interpret or teach these models will find the book useful. | Multilevel Model Foundations Monopoly® Data and Stata

GBP 48.99
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Multilevel and Longitudinal Modeling Using Stata Volumes I and II

Multilevel and Longitudinal Modeling Using Stata Volumes I and II

Multilevel and Longitudinal Modeling Using Stata Fourth Edition is a complete resource for learning to model data in which observations are grouped—whether those groups are formed by a nesting structure such as children nested in classrooms or formed by repeated observations on the same individuals. This text introduces random-effects models fixed-effects models mixed-effects models marginal models dynamic models and growth-curve models all of which account for the grouped nature of these types of data. As Rabe-Hesketh and Skrondal introduce each model they explain when the model is useful its assumptions how to fit and evaluate the model using Stata and how to interpret the results. With this comprehensive coverage researchers who need to apply multilevel models will find this book to be the perfect companion. It is also the ideal text for courses in multilevel modeling because it provides examples from a variety of disciplines as well as end-of-chapter exercises that allow students to practice newly learned material. The book comprises two volumes. Volume I focuses on linear models for continuous outcomes while volume II focuses on generalized linear models for binary ordinal count and other types of outcomes. | Multilevel and Longitudinal Modeling Using Stata Volumes I and II

GBP 120.00
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