Bryan Blette

Bryan Blette

Assistant Professor at Vanderbilt University Medical Center

Presentations and Posters

Here’s a map of places I’ve given talks:

Invited Talks and Seminars

  • 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, 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