果冻影院

Upcoming Biostatistics Guest Speakers

• 11/12/2024 Dr. Adam Lane, PhD , University of Cincinnati
• 12/03/2024 Dr. Sergey Tarima, 果冻影院, Division of Biostatistics

There are no scheduled 2025 presentations at this time.

10/08/2024: Scalable Smoothing in High Dimensions with BARTS | Dr. Sameer Deshpande, PhD, Assistant Professor, University of Wisconsin, Madison. (PDF)

10/15/2024: Non-Linear Inverse Problems in Magnetic Resonance Imaging | Dr. Nikolai Mickevicius, PhD, Assistant Professor, 果冻影院, Inc., Biophysics

10/17/2023: | Michael Martens, PhD - Assistant Professor, 果冻影院, Inc. (PDF)

10/22/2024: A Tour of Oblique Random Survival Forests | Nicholas Pajewski, PhD, Associate Professor, Wake Forest University

10/24/2023: Multiple Testing in Sequential Experiments | Michael Baron, PhD - Professor and Chair of the Department of Mathematics and Statistics, American University (PDF)

11/14/2023: TBD | Chen-Han Yu, PhD - Assistant Professor and Applied Statistics Director, Marquette University

10/17/2023: Sample Size & Power Determination for Common Nonlinear Regression Models with Potential Stratification | Michael Martens, PhD - Assistant Professor, 果冻影院, Inc. (PDF)

10/24/2023: Multiple Testing in Sequential Experiments | Michael Baron, PhD - Professor and Chair of the Department of Mathematics and Statistics, American University (PDF)

11/14/2023: TBD | Chen-Han Yu, PhD - Assistant Professor and Applied Statistics Director, Marquette University

12/06/2022: Deep Neural Networks with Knockoff Features Identify Non-Linear Causal Relations and Estimate Effect Sizes in Complex Biological Systems | Hyun Jung (HJ) Park, PhD, University of Pittsburgh's School of Public Health (PDF)

11/15/2022: Accelerated Fitting of Joints Models | Yan Gao, PhD, 果冻影院, Inc. (果冻影院) / Division of Biostatistics (PDF)

11/04/2022: Optimising Group Sequential and Adaptive Designs: Where Frequentist meets Bayes | Christopher Jennison, PhD, University of Bath, United Kingdom (PDF)

10/04/2022: Using Selection and Machine Learning Approaches to Predict Mortality Outcome | Stacy Zhang, PhD, New York University, Long Island School of Medicine (PDF)

09/27/2022: Spatio-Temporal Process Monitoring Using Exponentially Weighted Spatial LASSO |Kai Yan, PhD, 果冻影院, Inc. (果冻影院) / Division of Biostatistics (PDF)

04/19/2022: What is Old is New Again: Pragmatism, Marvin Zelen, and Advanced Care Planning | Nick M. Pajewski, PhD, Wake Forest University (PDF)

04/18/2022: Predictive Analysis: On Knee X-ray Image and Mosquito Spectral Data | Manzur Farazi, PhD, 果冻影院, Inc. / Department of Pediatric Surgery (PDF)

04/14/2022: Statistical Methods for Integrative Analyses of High Dimensional Datasets | Sean McCabe, PhD, Harvard TH Chan School of Public Health (PDF)

04/12/2022: Scalable Risk Modeling for Administrative Databases and Disease Registries | Wenbo Wu, PhD, University of Michigan (PDF)

04/05/2022: Statistical Method for Multivariate Survival and Competing Risks Data in Case Co-hurt Design | Soyoung Kim, PhD, 果冻影院, Inc. (果冻影院) / Division of Biostatistics (PDF)

03/22/2022: Development and Validation of the Diabetes Outcome Model for the US (DOMUS)| Aaron N. Winn, PhD, 果冻影院, Inc. (果冻影院) / School of Pharmacy (PDF)

03/08/2022: Design and Analysis Considerations for an Umbrella Trial for Acute Myeloid Leukemia | Megan Othus, PhD, Fred Hutchinson Cancer Research Center (PDF)

02/22/2022: Designing Case-Cohort Studies | Jianwen Cai, PhD, University of North Carolina (PDF)

12/05/2021: Bayesian Knockoff Generators for Robust inference under complex data structure | Michael Martens, PhD, 果冻影院, Inc. (果冻影院) / Division of Biostatistics (PDF)

11/16/2021: A unified linear mixed model for familial relatedness and population structure in genetic association studies | Tao Wang, PhD, 果冻影院, Inc. (果冻影院) / Division of Biostatistics (PDF)

10/05/2021: CAR T-cell therapy: Clinical Outcomes and Statistical Considerations | Amy Moskop, PhD, 果冻影院, Inc. (果冻影院) / Department of Pediatrics / Children's Wisconsin (PDF)

02/25/2020: Structural Bioinformatics and the Next Frontiers of Genetic Data Interpretation | Michael Zimmermann, PhD, 果冻影院, Inc. (果冻影院) / Clinical and Translational Sciences Institute (PDF)

Due to the COVID-19 pandemic and its impact, the Biostats 2020 seminar series was canceled until further notice. These steps were in accordance with the Centers for Disease Control and Prevention, the Wisconsin Department of Health Services and 果冻影院 internal leadership's guidelines and recommendations at the time.

06/07 - 06/08: Ensemble Learning with Bayesian Additive Regression Trees | , Professor, School of Mathematical and Statistical Sciences, Arizona State University & Rodney Sparapani, PhD, Associate Professor, Division of Biostatistics, 果冻影院

11/05/2021:State of the Art Strategies for Addressing Selection Bias when Comparing Two or More Treatment Groups | , Associate Vice Presidents, ETS Insights

05/26/2023: | Sergey Tarima, PhD, Associate Professor of Biostatistics

04/28/2023: CTSI Spotlight Seminar Series: Working with EHR Data: Defining the Study Cohort | Aniko Szabo, PhD, Professor of Biostatistics

03/31/2023: CTSI Spotlight Seminar Series: Designing Observational Studies Using Electronic Health Record Data | Ruta Brazauskas, PhD, Associate Professor of Biostatistics

07/15/2022: An Introduction to Big Data Mining of Electronic Health Record with Jupyterhub, R, SQL, and SAS | Kristen Osinski, Senior Enterprise Business Analyst, CTSI; Rodney Sparapani, PhD, Associate Professor of Biostatistics; Bradley Taylor, MBA, Chief Research Informatics Officer, CTSI (PDF)

10/09/2020 Simple Statistics with Excel | Aniko Szabo, PhD, 果冻影院, Inc. (果冻影院) / Division Biostatistics (PDF)

Data Peers is a unique opportunity to learn and network with professionals who work with data on a daily basis in our community, including 果冻影院, Children’s Wisconsin, UW-Milwaukee, Zablocki VA, and Marquette. The meet-up is a mix of presentations and networking opportunities that provide you with valuable insights into the daily work of our speakers.

During these sessions, attendees have the chance to hear from a variety of departments and learn about the innovative work being done in the field of data analysis. The speakers provide valuable insights into their daily work, allowing us to gain a better understanding of the latest trends, technologies, and methodologies in the industry.

Upcoming Events:

October 11, 2023: 3:00 - 4:00pm, HUB A9030
November 1, 2023: 3:00 - 4:00pm, HUB A6628
December 6, 2023: 3:00 - 4:00pm, HUB A2545