| Characterizing population exposure to coal emissions sources in the United States using the HyADS model LRF Henneman, C Choirat, C Ivey, K Cummiskey, CM Zigler Atmospheric Environment 203, 271-280, 2019 | 39 | 2019 |
| Causal inference in introductory statistics courses K Cummiskey, B Adams, J Pleuss, D Turner, N Clark, K Watts Journal of Statistics Education 28 (1), 2-8, 2020 | 29 | 2020 |
| Using classroom data to teach students about data cleaning and testing assumptions K Cummiskey, S Kuiper, R Sturdivant Frontiers in psychology 3, 33501, 2012 | 12 | 2012 |
| Exploring a complex gender wage gap dataset: an introductory activity in identifying issues and data visualization RS Lasater, AC Joseph, K Cummiskey Teaching Statistics 45 (1), 14-21, 2023 | 6 | 2023 |
| Computational skills for multivariable thinking in introductory statistics B Adams, D Baller, B Jonas, AC Joseph, K Cummiskey Journal of Statistics and Data Science Education 29 (sup1), S123-S131, 2021 | 6 | 2021 |
| Gestational growth trajectories derived from a dynamic fetal–placental scaling law D Baller, DM Thomas, K Cummiskey, C Bredlau, N Schwartz, ... Journal of the Royal Society Interface 16 (159), 20190417, 2019 | 5 | 2019 |
| A source-oriented approach to coal power plant emissions health effects K Cummiskey, C Kim, C Choirat, LRF Henneman, J Schwartz, C Zigler arXiv preprint arXiv:1902.09703, 2019 | 5 | 2019 |
| Causality in statistics and data science education K Cummiskey, K Lübke AStA Wirtschafts-und Sozialstatistisches Archiv 16 (3), 277-286, 2022 | 1 | 2022 |
| Predicting energy intake in adults who are dieting and exercising C Gerving, R Lasater, J Starling, DM Ostendorf, LM Redman, ... International Journal of Obesity 46 (12), 2095-2101, 2022 | 1 | 2022 |
| Bunting and the ghost runner: a causal inference approach K Cummiskey, L Villanti, I Crofford arXiv preprint arXiv:2404.06587, 2024 | | 2024 |
| Integration of Multiple Big Data Sources for Modeling Precision Nutrition K Cummiskey, DM Thomas Precision Nutrition, 153-164, 2024 | | 2024 |
| Transforming Big Data into AI‐ready data for nutrition and obesity research DM Thomas, R Knight, JA Gilbert, MC Cornelis, MG Gantz, K Burdekin, ... Obesity, 2023 | | 2023 |
| PRX J Zuccarelli, N Cunningham, CG Eils, A Lee, K Cummiskey Praxis: A Writing Center Journal 19 (3), 2022 | | 2022 |
| Measuring the Effect of Writing Center Visits on Student Performance from Praxis: A Writing Center Journal Vol. 19 No. 3 J Zuccarelli, N Cuningham, CG Elis, A Lee, K Cumminskey Praxis, 2022 | | 2022 |
| An undergraduate project to develop statistical thinking and writing: Iterating to success K Cummiskey, J Pleuss, B Adams, D Turner, R Hickman, C Sulewski, ... Teaching and Learning the West Point Way, 65-71, 2021 | | 2021 |
| Characterizing population exposure to coal emissions sources in the United States using the HyADS model. K Cummiskey, C Zigler, L Henneman, C Choirat, C Ivey | | 2019 |
| Methods for Estimating the Health Effects of Exposure to Point Sources of Emissions Using Large-scale and Diverse Data Sources K Cummiskey Harvard University, 2018 | | 2018 |
| A Source-Oriented Approach to Coal Combustion PM2. 5 Health Effects K Cummiskey, C Kim, C Choirat, C Zigler | | 2017 |
| Utilizing a web-based applet to analyze a real world complex dataset R Lasater, K Cummiskey, AC Joseph 2023 Joint Mathematics Meetings (JMM 2023), 0 | | |
| A Data-Driven Approach to Source-Receptor Mapping of Power Plant Emissions to Exposed Populations K Cummiskey, L Henneman, C Kim, C Choirat, B Coull, P Koutrakis, ... | | |
