Introduction to Time Series Using Stata, Revised Edition
A practical guide to working with time-series data using Stata, with concise explanations and useful tips. Insightful not just for academic users but also for practitioners in industry and government.
A Course in Item Response Theory and Modeling with Stata
A comprehensive introduction to the concepts of item response theory. Examples demonstrate fitting many kinds of IRT models, including one-, two-, and three-parameter logistic models for binary items as well as nominal, ordinal, and hybrid models for polytomous items.
Meta-Analysis in Stata: An Updated Collection from the Stata Journal, 2nd Edition
Meta-analysis allows researchers to combine results of several studies into a unified analysis that provides an overall estimate of the effect of interest and to quantify the uncertainty of that estimate. Stata has some of the best statistical tools available for doing meta-analysis.
One-hundred-nineteen Stata Tips
Provides concise and insightful notes about commands, features, and tricks that will help you obtain a deeper understanding of Stata. The book comprises the contributions of the Stata community.
Bayesian Analysis with Stata
Bayesian Analysis with Stata is a compendium of Stata community-contributed commands for Bayesian analysis. It contains just enough theoretical and foundational material to be useful to all levels of users interested in Bayesian statistics, from neophytes to aficionados.
A Visual Guide to Stata Graphics
The complete guide to Stata’s graph command and the graph editor. It includes treatments of contour plots, margin plots and many more.
Data Management Using Stata
This book addresses data management tasks for new to experienced users. It develops good data management habits.
An Introduction to Modern Econometrics Using Stata
This links learning econometrics and learning Stata. It emphasises the role of method-of-moment estimators, hypothesis testing and specification analysis while providing practical examples to apply theory to real Stata datasets.
Generalized Linear Models and Extensions
Focusing on theoretically and computationally preparing GLMs using Stata. This new edition adds binary and multivariate models, as well as a full chapter on Bayesian models.
Survey Weights: A Step-by-Step Guide to Calculation
An excellent reference for survey data analysts and researchers. This book details the reasons for weighting and shows how to perform different weight-adjustment methods in Stata.
An Introduction to Stata Programming
The ideal reference for anyone who wants to learn Stata programming. For the more advanced Stata programmer, the book introduces Stata's Mata programming language and optimisation routines.
An Introduction to Stata for Health Researchers
For those health researchers with some understanding of statistics, demonstrating the use of important techniques common to biostatistics and epidemiology.
Discovering Structural Equation Modeling using Stata
This book covers the statistical principles in SEM and the use of Stata to fit these models. It provides datasets for the reader to use and follow along.
Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model
This book aims to obtain a compromise between the Cox and parametric models where the compromise retains the desired features of both types of models. It is aimed at researchers familiar with the basic concepts of survival analysis and with the stcox and streg commands in Stata.
An Introduction to Survival Analysis Using Stata
Ideal tutorial for professional data analysts wanting to learn survival analysis or improve their understanding of survival analysis.
A Gentle Introduction to Stata
Covering those aspects of Stata that users need to know. It teaches good working habits, basic exploratory statistics and more. A must for all Stata users!
Health Econometrics Using Stata
An excellent overview of the methods used to analyse data on healthcare expenditure and use. It introduces readers to widely used methods, the approach in Stata, and illustrates interpretation of the results. Each method is discussed in the context of an example using an extract from the Medical Expenditure Panel Survey.
Stata for the Behavioural Sciences
The ideal reference for researchers using Stata to fit ANOVA models and other models commonly applied to behavioural science data. It includes an overview of Stata for new users and converting commonly used SPSS commands into Stata syntax.
Speaking Stata Graphics
A compilation of articles from the popular “Speaking Stata” column by Nicholas J Cox, this book provides valuable insights about Stata's built-in and user-written statistical-graphics commands.
Interpreting and Visualising Regression Models Using Stata
A clear treatment of carefully presenting results from model-fitting in a wide variety of settings. It is for anyone presenting the tangible meaning of a complex model in a clear fashion, regardless of the audience.
Microeconometrics Using Stata
Aimed at students and researchers looking to use Stata in mircoeconomic research using new commands and how to program in Stata.
Maximum Likelihood Estimation with Stata
Essential reference and guide for researchers in all disciplines who wish to write maximum likelihood (ML) estimators in Stata.
A MUST HAVE
The Mata Book: A Book for Serious Programmers and Those Who Want to Be
The book that Stata programmers have been waiting for. It covers the advanced features of Mata and teaches them. It assumes some programming experience.
Financial Econometrics Using Stata
An excellent introduction to time-series analysis for financial economists. It provides examples on fitting and interpreting many different univariate and multivariate GARCH models, and introduces estimating and interpreting risk-management parameters. It also introduces tests for contagion.
Thirty Years with Stata: A Retrospective
A sometimes serious and sometimes whimsical retrospective of Stata.
Regression Models for Categorical Dependent Variables Using Stata
The essential reference for those using Stata to fit and interpret regression models for categorical data.
Data Analysis Using Stata
Aimed at those learning Stata or switching to Stata. It covers social science research, data manipulation, producing tables, graphs, linear regression and logistic modelling.
Multilevel and Longitudinal Modelling Using Stata
Looks specifically at Stata’s treatment of generalised linear mixed models. These are “mixed” models because they allow fixed and random effects; and “generalised” because they are appropriate for continuous Gaussian responses as well as binary, count, and other types of limited dependent variables.
The Workflow of Data Analysis Using Stata
An essential productivity tool for data analysts. Aimed at anyone who analyses data, this book presents an effective strategy for designing and doing data-analytic projects.