Chen, D., Zhang, J. J., & Lynn, H. S. (2026). Data Visualization and Causal Reasoning Are Essential for Causal Effect Estimation. Teaching Statistics: An International Journal for Teachers, 48(3), 160. https://doi.org/10.1002/test.70031
Chicago Style (17th ed.) CitationChen, Dan, Juan Juan Zhang, and Henry S. Lynn. "Data Visualization and Causal Reasoning Are Essential for Causal Effect Estimation." Teaching Statistics: An International Journal for Teachers 48, no. 3 (2026): 160. https://doi.org/10.1002/test.70031.
MLA (9th ed.) CitationChen, Dan, et al. "Data Visualization and Causal Reasoning Are Essential for Causal Effect Estimation." Teaching Statistics: An International Journal for Teachers, vol. 48, no. 3, 2026, p. 160, https://doi.org/10.1002/test.70031.