Additional Material
Collected here are a variety of resources that offer a more in-depth treatment of the larger themes in this book. In addition to recommendations for these topics, we provide resources for several topics that we only lightly touched on. These resources are organized in the order in which the topics appear in the book:
-
Shumway, Robert, and David Stoffer. Time Series Analysis and Its Applications. New York: Springer, 2017.
This book covers how to analyze time-series data, like the Google Flu trends.
-
Speed, Terry. “Questions, Answers, and Statistics” ICOTS (1986): 18–28.
-
Leek, Jeffery and Roger Peng. “What Is the Question?” Science 347, no. 6228 (February 2015): 1314–1315.
We recommend “Questions, Answers, and Statistics” if you want to learn more about the interplay between questions and data. “What Is the Question?” connects questions with the type of analysis needed.
-
Lohr, Sharon. Sampling: Design and Analysis, 3rd edition. New York: Chapman and Hall, 2021.
More on sampling topics can be found in Sampling: Design and Analysis. The book also contains a treatment of the target population, access frame, sampling methods, and sources of bias.
-
University of California, Berkeley, College of Computing, Data Science, and Society. “HCE Toolkit.” Accessed September 15, 2023. https://oreil.ly/vzkBn.
Tuskegee University. “National Center for Bioethics in Research and Health Care.” Accessed September 15, 2023. https://oreil.ly/XLsYx.
These toolkits will ...
Get Learning Data Science now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.