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Introducing selected titles:
Multilevel and Longitudinal Modeling Using Stata, Volume 1: Continuous Responses (3rd ed) by Sophia Rabe-Hesketh and Anders Skrondal published by Stata in 2012. The theme of this account is regression modeling when data are clustered. Longitudinal data are by definition clustered because multiple observations over time are nested within units. This volume consist of four parts: 1. Preliminaries; 2. Two-level models; 3. Models for longitudinal and panel data; 4. Models with nested and crossed random effects. Each chapter is based on one or more research problems and real datasets. Stata can be used either via a graphical user interface or through commands. This book discusses regression modeling of clustered or hierarchical nested in firms, it is dedicated to models for continuous responses and is a prerequisite for the 2n volume. Sophia Rabe-Hesketh is a chair of social statistics at the Institute of Education, University of London, and is a professor of educational statistics and biostatistics at the University of California at Berkeley. Anders Skrondal is a senior biostatistician at the Division of Epidemiology, Norwegian Institute of Public health.
Multilevel and Longitudinal Modeling Using Stat, Volume II: Categorical Responses, Counts, and Survival (3rd ed) by Sophia Rabe-Hesketh and Anders Skrondal published in 2012. This book covers models for all important response type: binary, nominal and original responses; counts; and discrete-time and continuous-time survival. It discusses regression modeling of clustered or hierarchical data, including data on employees nested in firms, students nested in schools, and patience nested in hospitals. This account explains models and their assumptions and applies methods to real data using Stata. It shows how to interpret the results. The 144 exercises are based on 110 datasets that span many disciplines. This book is a suitable for courses in the social, behavioral and medical science, and in applied statistics. Sophia Rabe-Hesketh is a Professor of educational statistics at the University of California at Berkeley, more. Anders Skrondal is a senior biostatistician at the Division of Epidemiology, Norwegian Institute of Public Health.
Data Analysis Using Stata (3r ed) by Ulrich Kohler and Frauke Kreuter published by Stata Press in 2012. Authors intend for this book to be an introduction to Stata, it explains the techniques used to analyze data and can be used by beginners. The discussion of commands, statistical techniques, and options is intended to provide a fundamental understanding of Stata. This account is a comprehensive introduction to statistical methods and Stata. It is written as a self-study tutorial and is organized around examples. Step-by-step you will go through the process of data analysis, learning the principles of Stata, graphical representation. Data manipulation, and programs to automate repetitive tasks. Ulrich Kohler is an organizer of the German Stata Users Group meetings. He is a sociologist at the Social Science Research Center Berlin. Frauke Kreuter is an associate professor at the Joint Program in Survey Methodology in the University of Maryland - College Park, more.
A Visual Guide to Stata Graphics (3rd ed) by Michael N. Mitchell published by Stata Press in 2012. Graphics are a visual medium for communication. This book takes a visual approach healping you learn about how to use Stata graphics. This edition is reflecting new features available in Stata version 12 and includes minor updates that bring text up to date. Stata has added several new graphical features. Additional sections have been added, they illustrate the new features. This account includes over 900 illustrated examples and tabs that will teach you how to use Stata to make publication-quality graphs that will stand out. This new edition illustrates the use of the margins plot command and the use of contour plots; it illustrates features to specify symbols and fonts. Michael Mitchell is the author, he is a senior statistician in disaster preparedness and response.
Discovering Structural Equation Modeling Using Stata by Alan C. Acock published by Stata Press in 2013. This book is meant to get you started. There are two ways of learning. The one that author offers in this book is best described by an old advertising tag for a sport shoe company: “Just do it”. You should have Stata open when you read this book, devoted to Stata’s sem command and all it can do. You will learn about its capabilities path analysis, longitudinal models, structural equation modeling, and multiple-group analysis. Each model presented with the necessary code, which can be modified to fit the many models. The readers need a minimal background in multiple regression. The text is practical and serves as a useful reference. Alan Acock is the author, he is a sociologist and an University Distinguished Professor in the School of Social and Behavioral Health Sciences at Oregon State University.