Presentations and Posters

Here’s a map of places I’ve given talks (blue markers represent in-person presentations, while yellow markers represent the primary audience for a virtual presentation):

Invited Talks and Seminars

• Blette, B., Desai, M., Elkin, P., Lindsell, C. Generative AI as a Tool for Advancing Translational Science: Opportunities and Potential Pitfalls
  • ACTS Translational Science, Las Vegas, NV, April 2024
• Blette, B., Kahan, B., Harhay, M., Li, F. Evaluating informative cluster size in cluster-randomized trials
  • ENAR Spring Meeting, Baltimore, MD, March 2024
• Blette, B., Kahan, B., Halpern, S., Harhay, M., Li, F. Practical issues in cluster-randomized trials: Missing data and assessing assumptions
  • University of Louisville Department of Biostatistics Seminar, Virtual, February 2024
• Blette, B., Kahan, B., Harhay, M., Li, F. Evaluating informative cluster size in cluster-randomized trials
  • CMStatistics, Berlin, Germany, December 2023
• Blette, B., Moutchia, J., Al-Naamani, N., Ventetuolo, C., Cheng, C., Appleby, D., Urbanowicz, R., Fritz, J., Mazurek, J., Li, F., Kawut, S., Harhay, M. Is low-risk status a surrogate outcome in pulmonary arterial hypertension? An analysis of three randomised trials
  • Pulmonary Vascular Research Institute Community Seminar, Virtual, July 2023
• Blette, B., Gilbert, P., Hudgens, M. Combining causal and joint modeling methods to address practical issues in HIV clinical trials
  • University of Pennsylvania Division of Biostatistics Seminar, Philadelphia, PA, February 2023
• Blette, B., Gilbert, P., Hudgens, M. Combining causal and joint modeling methods to address practical issues in HIV clinical trials
  • Ohio State University Division of Biomedical Informatics Seminar, Columbus, OH, February 2023
• Blette, B., Gilbert, P., Hudgens, M. Combining causal and joint modeling methods to address practical issues in HIV clinical trials
  • Vanderbilt Department of Biostatistics Seminar, Nashville, TN, January 2023
• Blette, B., Gilbert, P., Hudgens, M. Combining Causal and Joint Modeling Methods to Address Policy-Relevant Questions using HIV Vaccine Trial Data
  • RAND Statistics Group Seminar, Virtual, January 2023
• Blette, B., Gilbert, P., Hudgens, M. Combining causal and joint modeling methods to address practical issues in HIV clinical trials
  • Northwestern University Division of Biostatistics Seminar, Chicago, IL, January 2023
• Blette, B., Gilbert, P., Hudgens, M. Causal joint modeling of longitudinal and survival data: An IPW approach
  • International Biometric Society: Kenya Region Seminar Series, Virtual, November 2022
• Blette, B. Association vs. causation in medical research
  • Penn Palliative and Advanced Illness Research (PAIR) Center Seminar Series, Philadelphia, PA, July 2022
• Blette, B., Gilbert, P., Hudgens, M. Causal joint modeling of longitudinal and survival data: An IPW approach
  • Center for Causal Inference (CCI) Seminar Series, Philadelphia, PA, April 2022

Contributed Talks

• Blette, B., Moutchia, J., Al-Naamani, N., Ventetuolo, C., Cheng, C., Appleby, D., Urbanowicz, R., Fritz, J., Mazurek, J., Li, F., Kawut, S., Harhay, M. Multivariable risk scores as potential surrogate outcomes in pulmonary arterial hypertension trials
  • American Thoracic Society International Conference, Washington DC, May 2023
• Blette, B., Halpern, S., Li, F., Harhay, M. Assessing treatment effect heterogeneity in the presence of missing effect modifier data in cluster-randomized trials
  • ENAR Spring Meeting, Nashville, TN, March 2023
• Blette, B., Halpern, S., Li, F., Harhay, M. Assessing treatment effect heterogeneity in the presence of missing effect modifier data in cluster-randomized trials
  • 8th Annual Conference on Current Developments in Cluster Randomized Trials and Stepped Wedge Designs, London, UK / Virtual, November 2022
• Blette, B., Gilbert, P., Hudgens, M. Addressing confounding and continuous exposure measurement error using conditional score functions
  • Joint Statistical Meetings, Washington DC, August 2022 (Biometrics Section Paper Award presentation)
• Blette, B., Hudgens, M. Causal joint modeling of longitudinal and survival data using the parametric g-formula
  • ENAR Spring Meeting, Houston, TX, March 2022
• Blette, B., Gilbert, P., Hudgens, M. Addressing concurrent confounding and measurement error using conditional score functions
  • ENAR Spring Meeting, Virtual, March 2021
• Blette, B., Gilbert, P., Hudgens, M. Structural joint modeling of longitudinal and survival data
  • ENAR Spring Meeting, Virtual, March 2020
• Blette, B. Preparing for the next Zika epidemic: Clinical, epidemiological, and statistical Challenges
  • UNC Prospective Students Day, Chapel Hill, NC, February 2020
• Blette, B., Gilbert, P., Hudgens, M. Structural joint modeling of longitudinal and survival Data
  • UNC Student Seminar, Chapel Hill, NC, September 2019
• Blette, B., Gilbert, P., Shepherd, B., Hudgens, M. Post-randomization biomarker effect modification in an HIV vaccine clinical trial
  • ENAR Spring Meeting, Philadelphia, PA, March 2019
• Blette, B., Richardson, A., Jiao, Y. Modeling considerations in data-driven attribution
  • Google Internship Presentation, Mountain View, CA. September, 2018
• Blette, B., Ploutz-Snyder, R., Feiveson, A. Data analysis challenges in the space life sciences
  • Space Life Sciences Summer Institute Research Conference, Houston, TX, August 2015

Posters

• Blette, B., Kahan. B, Harhay, M., Li. F. Assessing informative cluster size in cluster-randomized trials
  • American Causal Inference Conference, Austin, TX, May 2023
• Blette, B., Halpern, S., Li, F., Harhay, M. Assessing treatment effect heterogeneity in the presence of missing effect modifier data in cluster-randomized trials
  • Penn DBEI and CCEB Research Day, Philadelphia, PA, March 2022
• Blette, B., Howard, A.G., Frerichs, L. Latent class analysis for classification of latent policy environments: A case study
  • Joint Statistical Meetings, Denver, CO, August 2019