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cover Simona Boffelli and Giovanni Urga's Financial Econometrics Using Stata provides an excellent introduction to time-series analysis and how to do it in Stata for financial economists. Aimed at researchers, graduate students, and industry 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.
cover Christopher F. Baum's An Introduction to Stata Programming, Second Edition, is a great reference for anyone who wants to learn Stata programming.
cover Michael N. Mitchell's Stata for the Behavioral Sciences is the ideal reference for researchers using Stata to fit ANOVA models and other models commonly applied to behavioral science data. Drawing on his education in psychology and his experience in consulting, Mitchell uses terminology and examples familiar to the reader as he demonstrates how to fit a variety of models, how to interpret results, how to understand simple and interaction effects, and how to explore results graphically.
cover Sharon Lawner Weinberg and Sarah Knapp Abramowitz's Statistics Using Stata: An Integrative Approach is an introductory text that seeks not only to teach statistical principles but also to give students hands-on experience applying those principles using Stata. Throughout the text, the introduction of new statistical concepts is often accompanied by a real-world example using Stata.
cover Arul Earnest's Essentials of a Successful Biostatistical Collaboration is a unique approach to a biostatistics text in that the focus is not purely on study design and statistical analyses. While these topics are certainly discussed, equal attention is given to topics such as planning, project management, and effective communication that are important for any biostatistician who is collaborating with a research team.

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