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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 Mehmet Mehmetoglu and Tor Georg Jakobsen's Applied Statistics Using Stata: A Guide for the Social Sciences provides an introduction to using Stata for applied statistics. Graduate students from the social sciences, as well as anyone new to quantitative research using Stata, can benefit from this guide.
cover Christophe Lalanne and Mounir Mesbah's Biostatistics and Computer-based Analysis of Health Data Using Stata aims to help researchers in health fields learn Stata quickly. To this end, the authors demonstrate many types of analysis commonly used in health fields and discuss both the corresponding Stata commands and their outputs.
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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