Talks

Conference Contributed Talks

• Pitts, Amy. “Using a separable effects model to overcome extreme positivity violation and distinguish the causal effects of surgery and anesthesia” Eastern North American Region (ENAR). Baltimore, MD. Mar 2024.
• Pitts, Amy. “Inference of health outcomes among patients with HIV during covid-19 pandemic: using mrp model to improve survey representativeness”, American Association for Public Opinion Research (AAPOR). Philadelphia, PA. May 2023.
• Pitts, Amy, & Rivas, Pablo. “Finding time series breakpoints with fully connected neural networks” 2019 International Conference of Artificial Intelligence. Las Vegas, NV. July, 2019.
• Pitts, Amy. Haglich, Kathryn. & Neitzel, Sarah. “A Bayesian method for locating breakpoints in time series” Joint Mathematics Meetings. Baltimore, MD. January 2019.

Invited Talks

• Pitts, Amy. Ing, Caleb. Guo, Ling. Miles, Caleb. “Using a separable effects model to overcome extreme positivity violation and distinguish the causal effects of surgery and anesthesia” Columbia Biostatistics Annual Research Symposium (CBARS). Sept 2023.
• Pitts, Amy. “Predicting Mesothelioma Disease Status Using Demographic, Clinical, and Exposure-Related Factors”, Marist College Pi Mu Epsilon Induction Ceremony. May 2021.

Campus/Other Talks

• Pitts, Amy. Fowler, Charlotte. “Software to Draw DAGs”, Causal Inference Learning Group. Feb 2023.
• Pitts, Amy. “R-Shiny Crash Course” Columbia Biostatistics Computing Club. Nov 2022.
• Pitts, Amy. “Bayesian Go/No-Go Rules & Two-stage Designs and Comparison of Dose Escalation Designs in Early Oncology Studies”, Bristol Myers Squibb. Microsoft Teams. August 2021.
• Pitts, Amy. Kwizera, Muhire. “Python Tutorial”, Columbia Biostatistics Computing Club. December 2020.
• Pitts, Amy. Mulligan, Kaitlyn. & Allison Nowakowski. “The Machine Learning Quote Generator” Marist College School of Computer Science & Mathematics. Cisco Webex. May 2020.
• Pitts, Amy. “SeminaR: an R tutorial looking at shiny applications” Marist College Department of Mathematics. Poughkeepsie, NY. November 2019.
  
• Pitts, Amy. “My Research Experience at Memorial Sloan Kettering Cancer Center’’ Marist College Department of Mathematics. Poughkeepsie, NY. October 2019.
• Pitts, Amy. “Overleaf Overview’’ Department of Epidemiology and Biostatistics at Memorial Sloan Kettering Cancer Center. New York, NY. August 2019.
• Pitts, Amy. “Missing Data in Cancer Studies” QSURE Final Presentations hosted in the Department of Epidemiology and Biostatistics at Memorial Sloan Kettering Cancer Center. New York, NY. July 2019.
• Pitts, Amy. “My Research Experience at Lafayette College” Marist College Department of Mathematics. Poughkeepsie, NY. September 2018.

Conference Poster Presentations

• Pitts, Amy. “Multilevel Regression & Poststratification with Population Margins: Application to HIV Inference” Joint Statistical Meeting (JSM), Portland OR. Aug 2024.
• Pitts, Amy. “Using a separable effects model to overcome extreme positivity violation and distinguish the causal effects of surgery and anesthesia” American Causal Inference Conference (ACIC). Seattle, WA. May 2024.
• Pitts, Amy. “Inference of health outcomes among patients with HIV during covid-19 pandemic: using mrp model to improve survey representativeness”, Eastern North American Region International Biometric Society (ENAR). Nashville, TN. Mar 2023.
• Pitts, Amy. Haglich, Kathryn. Neitzel, Sarah. & Leibner, Jeffery. “A Bayesian method for locating breakpoints in time series” ACM New York Celebration of Women in Computing. Lake George, NY. April 2019.
• Pitts, Amy. Haglich, Kathryn. Neitzel, Sarah. & Leibner, Jeffery. “A Bayesian method for locating breakpoints in time series” Joint Mathematics Meeting. Baltimore, MD. January 2019.