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Maria Tackett. (2023) Three Principles for Modernizing an Undergraduate Regression Analysis Course. Journal of Statistics and Data Science Education 31:2, pages 116-127.
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Yonggang Lu, Qiujie Zheng & Daniel Quinn. (2023) Introducing Causal Inference Using Bayesian Networks and do-Calculus. Journal of Statistics and Data Science Education 31:1, pages 3-17.
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David W. Gerbing. (2021) Enhancement of the Command-Line Environment for use in the Introductory Statistics Course and Beyond. Journal of Statistics and Data Science Education 29:3, pages 251-266.
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Nicholas J. Horton & Johanna S. Hardin. (2021) Integrating Computing in the Statistics and Data Science Curriculum: Creative Structures, Novel Skills and Habits, and Ways to Teach Computational Thinking. Journal of Statistics and Data Science Education 29:sup1, pages S1-S3.
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