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Emily Slade, PhD, is an Assistant Professor in the Department of Biostatistics and the founding Director of the Biostatistics Consulting and Interdisciplinary Research Collaboration Lab (Biostat CIRCL). More information about the Biostat CIRCL can be found at https://cph.uky.edu/departments/biostatistics/biostat-circl.

Dr. Slade focuses on developing infrastructure and training to promote effective team science with biostatisticians. As contact PI, she leads an R25 titled “Quantitative Team Science (QuanTS) Program” to develop a national training and mentorship program in collaborative skills for biostatisticians and other quantitative scientists working on interdisciplinary biomedical research teams. She also promotes the value of team science through teaching and mentoring students in statistical consulting and collaboration skills.

Dr. Slade also collaborates with researchers in a wide range of biomedical areas through her work with the Biostat CIRCL and the Biostatistics, Epidemiology, and Research Design (BERD) Core in UK’s Center for Clinical and Translational Science. She is a co-investigator on multiple funded projects in the areas of opioid use disorder and health promotion in underserved populations.

Education

  • PhD, Biostatistics
    • Harvard University
  • AM, Biostatistics
    • Harvard University
  • BS, Statistics
    • University of Michigan

Research Interests

  • Science of team science
  • Training and workforce development in quantitative sciences
  • Educational innovation in biostatistics
  • Substance use disorder
  • Causal inference
  • Missing data methodology

Publications

Select publications are shown below. For more, see Google Scholar: https://scholar.google.com/citations?hl=en&user=OYIGzEoAAAAJ

Slade E, Jurkovitz CT, Messinger S, Oster RA, Pomann G, Taylor SL, Brearley AM. (2025). Advancing workforce development and scientific collaboration: A novel resource for biostatistical education. Journal of Clinical and Translational Science, 9(1): e11. https://doi.org/10.1017/cts.2024.69

Slade E, Robbins SJK, McQuerry KJ, Mangino AA. (2024). The value of flexible funding for collaborative biostatistics units in universities and academic medical centres. Stat, 13(2): e679. https://doi.org/10.1002/sta4.679

Slade E, Brearley AM, Coles A, Hayat MJ, Kulkarni PM, Nowacki AS, Oster RA, Posner MA, Samsa G, Spratt H, Troy J, Pomann GM. (2023). Essential team science skills for biostatisticians on collaborative research teams. Journal of Clinical and Translational Science, 7(1): E243. https://doi.org/10.1017/cts.2023.676

Ellis AR, Slade E. (2023). A new era of learning: Considerations for ChatGPT as a tool to enhance statistics and data science education. Journal of Statistics and Data Science Education, 31(2): 128-133. https://doi.org/10.1080/26939169.2023.2223609

Slade E, Kern PA, Kegebein RL, Liu C, Thompson JC, Kelly TH, King VL, DiPaola RS, Surratt HL. (2023). Collaborative team dynamics and scholarly outcomes of multidisciplinary research teams: A mixed-methods approach. Journal of Clinical and Translational Science, 7(1): E59. https://doi.org/10.1017/cts.2023.9

Slade E, Mangino A, Daniels L, Liford M, Quesinberry D. (2022). Modeling overdose case fatality rates over time: The collaborative process. Stat, 12(1): e510. https://doi.org/10.1002/sta4.510

Slade E, Dwoskin LP, Zhang GQ, Talbert JC, Chen J, Freeman PR, Kantak KM, Hankosky ER, Fouladvand S, Meadows AL, Bush HM. (2020). Integrating data science into the translational science research spectrum: A substance use disorder case study. Journal of Clinical and Translational Science, 5(1): e29. https://doi.org/10.1017/cts.2020.521

Slade E, Naylor MG. (2020). A fair comparison of tree-based and parametric methods in multiple imputation by chained equations. Statistics in Medicine, 39(8): 1156-1166. https://doi.org/10.1002/sim.8468

Link to Google Scholar for more publications: https://scholar.google.com/citations?hl=en&user=OYIGzEoAAAAJ

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