References

Brunson, Jason Cory, and Quentin D. Read. 2026. Ggalluvial: Alluvial Plots in Ggplot2. http://corybrunson.github.io/ggalluvial/.

Cleveland, William S., and Robert McGill. 1984. “Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods.” Journal of the American Statistical Association 79 (387): 531–54. https://doi.org/10.1080/01621459.1984.10478080.

Cowan, Nelson. 2001. “The Magical Number 4 in Short-Term Memory: A Reconsideration of Mental Storage Capacity.” Behavioral and Brain Sciences 24 (1): 87–114. https://doi.org/10.1017/S0140525X01003922.

Dayim, Alim. 2026. Consort: Create Consort Diagram. https://github.com/adayim/consort/.

Ehrlinger, John. 2026a. ggRandomForests: Visually Exploring Random Forests. https://github.com/ehrlinger/ggRandomForests.

Ehrlinger, John. 2026b. hvtiPlotR: HVTI Ggplot2 Themes and Clinical Plot Functions for the Cleveland Clinic Heart & Vascular Institute. https://github.com/ehrlinger/hvtiPlotR.

Ehrlinger, John. 2026c. hvtiR: Install and Check the HVTI r Package Family. https://github.com/ehrlinger/hvtiR.

Ehrlinger, John. 2026d. hvtiRtables: Manuscript-Compliant Table Construction for HVTI CORR Group. https://github.com/ehrlinger/hvtiRtables.

Ehrlinger, John. 2026e. hvtiRutilities: A Collection of Utilities for Use by HVTI CORR Group at the Cleveland Clinic. https://github.com/ehrlinger/hvtiRutilities.

Ehrlinger, John. 2026f. TemporalHazard: Temporal Parametric Hazard Modeling. https://ehrlinger.github.io/TemporalHazard/.

Garner, Joanna K., and Michael Alley. 2013. “How the Design of Presentation Slides Affects Audience Comprehension: A Case for the Assertion-Evidence Approach.” International Journal of Engineering Education 29 (6): 1564–79. https://www.ijee.ie/articles/Vol29-6/23_ijee2791ns.pdf.

Gohel, David, and Panagiotis Skintzos. 2026. Flextable: Functions for Tabular Reporting. https://ardata-fr.github.io/flextable-book/.

Healey, Christopher G., and James T. Enns. 2012. “Attention and Visual Memory in Visualization and Computer Graphics.” IEEE Transactions on Visualization and Computer Graphics 18 (7): 1170–88.

Heer, Jeffrey, and Michael Bostock. 2010. “Crowdsourcing Graphical Perception: Using Mechanical Turk to Assess Visualization Design.” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2010). https://homes.cs.washington.edu/~jheer/files/2010-MTurk-CHI.pdf.

Iannone, Richard, Joe Cheng, Barret Schloerke, et al. 2026. Gt: Easily Create Presentation-Ready Display Tables. https://gt.rstudio.com.

Ishwaran, Hemant, and Udaya B. Kogalur. 2026a. randomForestRHF: Random Hazard Forests. https://www.randomforestsrc.org/.

Ishwaran, Hemant, and Udaya B. Kogalur. 2026b. randomForestSRC: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC). https://www.randomforestsrc.org/.

Ishwaran, Hemant, and Min Lu. 2019. “Standard Errors and Confidence Intervals for Variable Importance in Random Forest Regression, Classification, and Survival.” Statistics in Medicine 38 (4): 558–82. https://doi.org/10.1002/sim.7803.

Ishwaran, H., and U. B. Kogalur. 2007. “Random Survival Forests for r.” R News 7 (2): 25–31. https://CRAN.R-project.org/doc/Rnews/.

Ishwaran, H., U. B. Kogalur, E. H. Blackstone, and M. S. Lauer. 2008. “Random Survival Forests.” Ann. Appl. Statist. 2 (3): 841–60. https://arXiv.org/abs/0811.1645v1.

Leisch, Friedrich, and Evgenia Dimitriadou. 2026. Mlbench: Machine Learning Benchmark Problems. https://doi.org/10.32614/CRAN.package.mlbench.

Lu, Min, Aster K. Shear, Udaya B. Kogalur, and Hemant Ishwaran. 2026. varPro: Model-Independent Variable Selection via the Rule-Based Variable Priority. https://www.varprotools.org/.

Mayer, Michael, and David Watson. 2025. Kernelshap: Kernel SHAP. https://github.com/ModelOriented/kernelshap.

Mayer, Richard E., and Logan Fiorella. 2014. “Principles for Reducing Extraneous Processing in Multimedia Learning: Coherence, Signaling, Redundancy, Spatial Contiguity, and Temporal Contiguity Principles.” In The Cambridge Handbook of Multimedia Learning, 2nd ed., edited by Richard E. Mayer. Cambridge University Press.

Mayer, Richard E., and Celeste Pilegard. 2014. “Principles for Managing Essential Processing in Multimedia Learning: Segmenting, Pretraining, and Modality Principles.” In The Cambridge Handbook of Multimedia Learning, 2nd ed., edited by Richard E. Mayer. Cambridge University Press.

Okabe, Masataka, and Kei Ito. n.d. Color Universal Design. https://jfly.uni-koeln.de/color/.

Pedersen, Thomas Lin. 2025a. Ggraph: An Implementation of Grammar of Graphics for Graphs and Networks. https://doi.org/10.32614/CRAN.package.ggraph.

Pedersen, Thomas Lin. 2025b. Patchwork: The Composer of Plots. https://patchwork.data-imaginist.com.

Robinson, David, Alex Hayes, Simon Couch, and Emil Hvitfeldt. 2026. Broom: Convert Statistical Objects into Tidy Tibbles. https://doi.org/10.32614/CRAN.package.broom.

Sjoberg, Daniel D., Joseph Larmarange, Michael Curry, et al. 2026. Gtsummary: Presentation-Ready Data Summary and Analytic Result Tables. https://github.com/ddsjoberg/gtsummary.

Sjoberg, David. 2026. Ggsankey: Sankey, Alluvial and Sankey Bump Plots. https://github.com/davidsjoberg/ggsankey.

Terry M. Therneau, and Patricia M. Grambsch. 2000. Modeling Survival Data: Extending the Cox Model. Springer.

Therneau, Terry M. 2026. Survival: Survival Analysis. https://github.com/therneau/survival.

Wickham, Hadley. 2009. Ggplot2: Elegant Graphics for Data Analysis. Springer New York.

Wickham, Hadley, Winston Chang, Lionel Henry, et al. 2026. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://ggplot2.tidyverse.org.

World Wide Web Consortium. 2023. Web Content Accessibility Guidelines (WCAG) 2.2. W3C Recommendation. https://www.w3.org/TR/WCAG22/.

Xiao, Nan. 2026. Ggsci: Scientific Journal and Sci-Fi Themed Color Palettes for ’Ggplot2’. https://doi.org/10.32614/CRAN.package.ggsci.