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A Gentle Introduction To Stata Second Edition

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Author : Alan C. Acock
language : en
Publisher: Stata Press
Release Date : 2008-09-03

A Gentle Introduction To Stata Second Edition written by Alan C. Acock and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-03 with Computers categories.

"A Gentle Introduction to Stata, Second Edition is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will not only be able to use Stata well but also learn new aspects of Stata easily. 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 portion 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 on the computer. When explaining how to go about basic exploratory statistical procedures, Acock includes notes that should help the reader develop good work habits. This mixture of explaining good Stata habits and 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). Acock teaches Stata commands by using the menus and dialog boxes while still stressing the value of 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 chose to arrange the topics as they would be in a basic statistics textbook; graphics and postestimation are woven into the material in a natural fashion. Real datasets, such as the General Social Surveys from 2002 and 2006, are used throughout the book. The focus of the book is especially helpful for those in psychology and the 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. The second edition of the book has been updated to reflect new features in Stata 10 and includes a new chapter on the use of factor analysis to develop valid, reliable scale measures."--Publisher's website.

Data Analysis Using Stata

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Author : Ulrich Kohler (Dr. phil.)
language : en
Publisher: Stata Press
Release Date : 2005-06-15

Data Analysis Using Stata written by Ulrich Kohler (Dr. phil.) and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-06-15 with Computers categories.

"This book provides a comprehensive introduction to Stata with an emphasis on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks. Using data from a longitudinal study of private households in Germany, the book presents many examples from the social sciences to bring beginners up to speed on the use of Stata." -- BACK COVER.

An Introduction To Survival Analysis Using Stata Second Edition

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Author : Mario Alberto Cleves
language : en
Publisher: Stata Press
Release Date : 2008-05-15

An Introduction To Survival Analysis Using Stata Second Edition written by Mario Alberto Cleves and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-05-15 with Business & Economics categories.

"[This book] provides new researchers with the foundation for understanding the various approaches for analyzing time-to-event data. This book serves not only as a tutorial for those wishing to learn survival analysis but as a ... reference for experienced researchers ..."--Book jacket.

An Introduction To Modern Econometrics Using Stata

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Author : Christopher F. Baum
language : en
Publisher: Stata Press
Release Date : 2006-08-17

An Introduction To Modern Econometrics Using Stata written by Christopher F. Baum and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-17 with Business & Economics categories.

Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, this introduction illustrates how to apply econometric theories used in modern empirical research using Stata. The author emphasizes the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how to apply the theories to real data sets. The book first builds familiarity with the basic skills needed to work with econometric data in Stata before delving into the core topics, which range from the multiple linear regression model to instrumental-variables estimation.

Maximum Likelihood Estimation With Stata Third Edition

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Author : William Gould
language : en
Publisher: Stata Press
Release Date : 2006

Maximum Likelihood Estimation With Stata Third Edition written by William Gould and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.

Written by the creators of Stata's likelihood maximization features, Maximum Likelihood Estimation with Stata, Third Edition continues the pioneering work of the previous editions. Emphasizing practical implications for applied work, the first chapter provides an overview of maximum likelihood estimation theory and numerical optimization methods. With step-by-step instructions, the next several chapters detail the use of Stata to maximize user-written likelihood functions. Various examples include logit, probit, linear, Weibull, and random-effects linear regression as well as the Cox proportional hazards model. The final chapters describe how to add a new estimation command to Stata. Assuming a familiarity with Stata, this reference is ideal for researchers who need to maximize their own likelihood functions. New ml commands and their functions: constraint: fits a model with linear constraints on the coefficient by defining your constraints; accepts a constraint matrix ml model: picks up survey characteristics; accepts the subpop option for analyzing survey data optimization algorithms: Berndt-Hall-Hall-Hausman (BHHH), Davidon-Fletcher-Powell (DFP), Broyden-Fletcher-Goldfarb-Shanno (BFGS) ml: switches between optimization algorithms; computes variance estimates using the outer product of gradients (OPG)

An Introduction To Stata For Health Researchers

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Author : Svend Juul
language : en
Publisher: Stata Press
Release Date : 2006-03-15

An Introduction To Stata For Health Researchers written by Svend Juul and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-15 with Computers categories.

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

A Visual Guide To Stata Graphics Second Edition

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Author : Michael N. Mitchell
language : en
Publisher: Stata Press
Release Date : 2008-06-04

A Visual Guide To Stata Graphics Second Edition written by Michael N. Mitchell and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-04 with Computers categories.

The Power of Stata Graphics at Your Fingertips Whether you are new to Stata graphics or a seasoned veteran, this book teaches you how to use Stata to make high-quality graphs that stand out and enhance statistical results. With over 900 illustrated examples and quick-reference tabs, it offers a guide to creating and customizing graphs for any type of statistical data using either Stata commands or the Graph Editor. The author displays each graph example in full color with simple and clear instructions. He shows how to produce various types of graph elements, including marker symbols, lines, legends, captions, titles, axis labels, and grid lines. Reflecting the new graphics features of Stata, this thoroughly updated and expanded edition contains a new chapter that explains how to exploit the power of the new Graph Editor. This edition also includes additional examples and illustrates nearly every example with the Graph Editor.

Regression Models For Categorical Dependent Variables Using Stata Second Edition

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Author : J. Scott Long
language : en
Publisher: Stata Press
Release Date : 2006

Regression Models For Categorical Dependent Variables Using Stata Second Edition written by J. Scott Long and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.

The goal of the book is to make easier to carry out the computations necessary for the full interpretation of regression nonlinear models for categorical outcomes usign Stata.

Multilevel And Longitudinal Modeling Using Stata Second Edition

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Author : Sophia Rabe-Hesketh
language : en
Publisher: Stata Press
Release Date : 2008-02-07

Multilevel And Longitudinal Modeling Using Stata Second Edition written by Sophia Rabe-Hesketh and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-07 with Computers categories.

This textbook looks specifically at Stata's treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" because they allow fixed and random effects, and they are "generalized" because they are appropriate for continuous Gaussian responses as well as binary, count, and other types of limited dependent variables.

Handbook Of Statistical Analyses Using Stata Fourth Edition

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Author : Brian S. Everitt
language : en
Publisher: CRC Press
Release Date : 2006-11-15

Handbook Of Statistical Analyses Using Stata Fourth Edition written by Brian S. Everitt and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-15 with Mathematics categories.

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 new features of Stata, including a new command for mixed models and a new matrix language. Each chapter describes the analysis appropriate for a particular application, focusing on the medical, social, and behavioral fields. The authors begin each chapter with descriptions of the data and the statistical techniques to be used. The methods covered include descriptives, simple tests, variance analysis, multiple linear regression, logistic regression, generalized linear models, survival analysis, random effects models, and cluster analysis. The core of the book centers on how to use Stata to perform analyses and how to interpret the results. The chapters conclude with several exercises based on data sets from different disciplines. A concise guide to the latest version of Stata, A Handbook of Statistical Analyses Using Stata, Fourth Edition illustrates the benefits of using Stata to perform various statistical analyses for both data analysis courses and self-study.