Strategies for Successfully Scoping and Tracking Collaborative Statistical Work. Topic-contributed Panel at JSM 2023 with Alex Hanlon, Emily Griffith, Ryan Peterson, and Julia Sharp.
Working with statisticians: Perceptions of practicing statisticians on their most successful collaborations. ACTStat 2023.
Detecting Interactions in R. Invited speed talk, National Center for Health Statistics and the Center for Disease Control, Virtual, May 2023.
Successful Approaches to Teaching Statistical Consulting. Invited Panel Discussion led by Julia Sharp. The ASA Section on Teaching of Statistics in the Health Sciences Webinar, Virtual, May 2023. Watch
Selection tools for handling suspected signal heterogeneity in covariates with applications to interactions and high-dimensional time series, Invited Seminar, Department of Biostatistics and Data Science, Wake Forest University School of Medicine, March 2023.
The Sparsity-Ranked Lasso, Invited Seminar, Department of Biostatistics and Informatics, University of Colorado, February 2023.
Reaping What You SOW, Invited Panel Session, Conference on Statistical Practice, San Francisco, CA, February 2023.
An Introduction to Biomedical Applications of Big Data, Machine Learning, and Artificial Intelligence. Invited Seminar. Big Data Seminar Series, Colorado Clinical and Translational Science Institute, University of Colorado, November 2022.
Fast, effective, and coherent time series modeling with the sparsity-ranked lasso: the srlTS R package. ASA Colorado/Wyoming Chapter Annual Meeting. Aurora, CO. November 2022.
Integrating public-use data for policy research: modeling city-specific trends in pollution and mobility through the COVID-19 pandemic. ColoradoSPH Research Exchange, Aurora, CO. September 2022.
Can a new transparent algorithm predict better than its black-box counterparts? Symposium on Data Science and Statistics, Annual Conference, Pittsburgh, PA. June 2022.
Aggregating penalized regression coefficients after multiple imputation for urgent and effective prediction of intubation in patients with severe COVID-19. ACTStat 2021 Annual Meeting, Virtual. Early Career Award winner.
Penalized Regression and Multiple Imputation: A Simple Aggregation Rule That Works Surprisingly Well. Joint Statistical Meetings, Virtual Conference, 2021.
“But what about interactions, are any of those significant?” Resolving the collaborative nightmare of covariate interactions using regularization. International Biometric Conference. Virtual conference, 2020. (Contributed poster; won Best Poster Award)
Predictive Modeling: From Simple to Complex and Transparent to Opaque, A Debate of Two Extremes. Department of Biostatistics & Informatics, Colorado School of Public Health, University of Colorado, November 2019.
Ranked Sparsity Methods for Transparent Model Selection. Joint Statistical Meetings, Vancouver, British Columbia, Canada. August 2018.
Multistate Modeling in Clinical Trials: how to plan, power, and analyze multistate studies using the Multistate Simulation Designer. Cancer Center Special Topics Seminar, Mayo Clinic, Rochester, MN, 2017.
Parkinson’s Progression Markers Initiative: filtering noisy outcomes and prediction-guided inference. Departmental Seminar, University of Iowa. Iowa City, IA. December 2016.
Last updated: June 2024