Citations (14)
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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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Benjamin S. Baumer, Randi L. Garcia, Albert Y. Kim, Katherine M. Kinnaird & Miles Q. Ott. (2022) Integrating Data Science Ethics Into an Undergraduate Major: A Case Study. Journal of Statistics and Data Science Education 30:1, pages 15-28.
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Peter E. Freeman. (2021) Facilitating Authentic Practice for Early Undergraduate Statistics Students. The American Statistician 75:4, pages 433-444.
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Allison S. Theobold, Stacey A. Hancock & Sara Mannheimer. (2021) Designing Data Science Workshops for Data-Intensive Environmental Science Research. Journal of Statistics and Data Science Education 29:sup1, pages S83-S94.
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Karsten Lübke, Matthias Gehrke, Jörg Horst & Gero Szepannek. (2020) Why We Should Teach Causal Inference: Examples in Linear Regression With Simulated Data. Journal of Statistics Education 28:2, pages 133-139.
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Articles from other publishers (9)
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Michael Overton & Stephen Kleinschmit. (2022) Transforming research methods education through data science literacy. Teaching Public Administration 41:2, pages 149-169.
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Jeffrey A. McLean, Corey Brady, Hyunyi Jung, Angeles Dominguez & Aran W. Glancy. 2023. Advancing and Consolidating Mathematical Modelling. Advancing and Consolidating Mathematical Modelling
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Taylor Bolt, Jason S. Nomi, Danilo Bzdok & Lucina Q. Uddin. (2021) Educating the future generation of researchers: A cross-disciplinary survey of trends in analysis methods. PLOS Biology 19:7, pages e3001313.
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Danielle V. Handel, Anson T. Y. Ho, Kim P. Huynh, David T. Jacho-Chávez & Carson H. Rea. (2021) Econometrics Pedagogy and Cloud Computing: Training the Next Generation of Economists and Data Scientists. Journal of Econometric Methods 10:1, pages 89-102.
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Shelemyahu ZacksShelemyahu Zacks. 2020. The Career of a Research Statistician. The Career of a Research Statistician
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Rajendra K. Raj, Allen Parrish, John Impagliazzo, Carol J. Romanowski, Sherif G. Aly, Casey C. Bennett, Karen C. Davis, Andrew McGettrick, Teresa Susana Mendes Pereira & Lovisa Sundin. (2019) An Empirical Approach to Understanding Data Science and Engineering Education. An Empirical Approach to Understanding Data Science and Engineering Education.
Timothy Rafalski, P. Merlin Uesbeck, Cristina Panks-Meloney, Patrick Daleiden, William Allee, Amelia Mcnamara & Andreas Stefik. (2019) A Randomized Controlled Trial on the Wild Wild West of Scientific Computing with Student Learners. A Randomized Controlled Trial on the Wild Wild West of Scientific Computing with Student Learners.