星空无限传媒

GettyImages-758308167-hero

星空无限传媒 Biostatistics Events

Upcoming Events

all
2023-2024

10/17/2023: | Michael Martens, PhD - Assistant Professor, 星空无限传媒, 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

Biostats Seminar Series

As part of the PhD curriculum between six to eight well-established statistician Professors are invited to speak with Biostats faculty and students during the academic calendar year. The aims is to expand our vision and knowledge for current advancement in statistics.
all
2023 Seminar Series聽
10/17/2023: Sample Size & Power Determination for Common Nonlinear Regression Models with Potential Stratification | Michael Martens, PhD - Assistant Professor, 星空无限传媒, 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
2022 Seminar Series

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, 星空无限传媒, Inc. (MCW) / 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, 星空无限传媒, Inc. (MCW) / 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, 星空无限传媒, 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, 星空无限传媒, Inc. (MCW) / Division of Biostatistics (PDF)

03/22/2022: Development and Validation of the Diabetes Outcome Model for the US (DOMUS)| Aaron N. Winn, PhD, 星空无限传媒, Inc. (MCW) / 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)

2021 Seminar Series

12/05/2021: Bayesian Knockoff Generators for Robust inference under complex data structure | Michael Martens, PhD, 星空无限传媒, Inc. (MCW) / 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, 星空无限传媒, Inc. (MCW) / Division of Biostatistics (PDF)

10/05/2021: CAR T-cell therapy: Clinical Outcomes and Statistical Considerations | Amy Moskop, PhD, 星空无限传媒, Inc. (MCW) / Department of Pediatrics / Children's Wisconsin (PDF)

2020 Seminar Series

02/25/2020: Structural Bioinformatics and the Next Frontiers of Genetic Data Interpretation | Michael Zimmermann, PhD, 星空无限传媒, Inc. (MCW) / 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 星空无限传媒internal leadership's guidelines and recommendations at the time.

Other Statistical Lectures & Meetings

all
ASA Wisconsin Chapter

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, 星空无限传媒

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

Clinical and Translational Science Institute (CTSI)

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, 星空无限传媒, Inc. (MCW) / Division Biostatistics (PDF)

Data Peers | Networking Group

Data Peers is a unique opportunity to learn and network with professionals who work with data on a daily basis in our community, including MCW, 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