Biostatistics Events

Other Statistical Lectures

ASA Wisconsin Chapter

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

Clinical and Translational Science Institute (CTSI)
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, Medical College of Wisconsin, Inc. (MCW) / Division Biostatistics (PDF)
Webinars / Workshops

January 12, 2022: Bayesian Survival Tree Ensembles with Submodel Shrinkage by Antonio Linero, PhD, University of Texas at Austin

6/16/2021: REMAP-CAP: A Bayesian Approach to Learning and Treating COVID-19 by Scott Berry, PhD, University of Kansas Medical Center

March 25, 2021: Bayesian Career Webinar: A Discussion with Eminent Bayesian Biostatisticians Speakers: Frank Harrell, PhD Vanderbilt University, Scott Berry, PhD, University of Kansas Medical Center, Greg Campbell, PhD Walden University, Nicky Best, GlaxoSmithKline, Deborah Ashby, PhD Imperial College

December 17, 2020: Predictively Consistent Prior Effective Sample Sizes presented by Sebastian Weber, PhD, Novartis Pharm AG

12/02/2020 - 12/03/2020: Advances in Adaptive and Optimal Experimental Designs (PDF) | Organizing Committee Members: Nancy Flournoy, PhD University of Missouri, Adam Lane, PhD, Cincinnati Children's Hospital, Sergey Tarima, Medical College of Wisconsin (Presenters: Dr. Adam Lane slides (PDF), Dr. Caterina May slides (PDF), Dr. Maryna Prus slides (PDF), Dr. Chiara Tomassi slides (PDF), Thomas Asendorf slides (PDF), Dr. Nancy Flournoy slides (PDF), Dr. Aniko Szabo slides (PDF), Dr. Sergey Tarima slides (PDF)

September 25, 2020: Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects by P. Richard Hahn, PhD, University of Maryland

June 25, 2020: Phase I–II Basket Trial Design to Optimize Dose-Schedule Regimes Based on Delayed Outcomes by Ruitao Lin, PhD, MD Anderson Cancer Center

March 18, 2020: Bayesian Influenza Forecasting Modelling by David Osthus, PhD, Los Alamos National Laboratory

April 5-6, 2019: Deep Learning: Fundamentals and Applications in Medical Informatics, Speakers Yuan Luo, PhD, Assistant Professor, Northwestern University Mehdi Maadooliat, PhD, Assistant Professor, Marquette University Daniel Rowe, PhD, Professor, Marquette University Hongfang Liu, PhD, Professor and Research Team Chair, Mayo Clinic

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.
2023 Seminar Series Schedule
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, Medical College of Wisconsin, 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, Medical College of Wisconsin, 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, Medical College of Wisconsin, 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, Medical College of Wisconsin, 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, Medical College of Wisconsin, 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, Medical College of Wisconsin, 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, Medical College of Wisconsin, Inc. (MCW) / Division of Biostatistics (PDF)
10/05/2021: CAR T-cell therapy: Clinical Outcomes and Statistical Considerations | Amy Moskop, PhD, Medical College of Wisconsin, 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, Medical College of Wisconsin, 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 MCW internal leadership's guidelines and recommendations at the time.
2019 Seminar Series
07/03/2019: Measurement error in Calibration Sub-studies | David M. Steinberg, PhD, Tel-Aviv University

05/24/2019: Bayesian Models for Capturing Heterogeneity in Various Types of Data | Junxian Gang, PhD, Boehringer Ingelheim

04/23/2019: Zero-Inflated Generalized Dirichlet Multinomial (ZIGDM) Regression Model for Microbiome Compositional Data | Zhengzheng Tang, PhD, University of Wisconsin, Madison

04/05/2019: Deep Learning: Fundamentals and and Applications in Medical Informatics | Yuan Luo, PhD, Northwestern University; Medhi Maadooliat, PhD, Marquette University; Daniel Rowe, PhD, Marquette University; Hongfang Liu, PhD

03/19/2019: Reproducibility & heterogeneity in meta-analysis & replication of transcriptomic studies | George C. Tseng, PhD, University of Pittsburgh

02/05/2019: Statistical Object Models from Computer Vision to Biological Imaging | Yali Amit, PhD, University of Chicago
2018 Seminar Series

12/04/2018: Exploring drivers of gene expression in The Cancer Genome Atlas | Andrea Rau, PhD, French National Institute for Agricultural Research (PDF)

11/06/2018: Variable selection via measurement error model selection likelihoods | Yichao Wu, PhD, University of Illinois, Chicago (PDF)

10/30/2018: Towards Unified Biomedical Modeling with Graph and Factorization Algorithms | Yuan Luo, PhD, Northwestern University (PDF)

10/16/2018: Multilevel variance components model in functional data with applications to minute-level accelerometry measures | Haochang Shou, PhD, University of Pennsylvania (PDF)

10/02/2018: Online Forecasting of Lung Tumor Motion | Debdeep Pati, PhD, Texas A & M University (PDF)

09/12/2018: Adaptive Design of Affordable Clinical Trials | Tze L Lai. PhD, Stanford University (PDF)

09/11/2018: Adaptive Enrichment Designs for Reproducible Confirmatory Clinical Trials in the Era of Precision Medicine | Tze L Lai, PhD, Stanford University (PDF)

04/24/2018: Hybrid Statistical & Dynamical Systems Modeling Guides mHealth Intervention for Pain | Chaeryon Kang, PhD, University of Pittsburgh (PDF)

04/17/2018: Statistical Learning for Heterogeneous | Guanhua Chen, PhD, University of Wisconsin, Madison (PDF)

04/10/2018: Semiparametric Fractional Imputation using Gausian Mixture Models for Handling Multivariate Missing Data | Jae-Kwang Kim, PhD, Iowa State University (PDF)

03/27/2018: Efficient Gene-Set Interpretation of Expression Data using Mixed Methods | Duo Jiang, PhD, Oregon State University (PDF)

02/06/2018: Robust inference with the knockoff filter | Rina F. Barber, PhD University of Chicago (PDF)

2017 Seminar Series

11/14/2017: Community Structure in Stochastic Networks | Chao Gao, University of Chicago (PDF)

10/31/2017: Trajectory Quantile Regression for Longitudinal Data | Limin Peng, Emory University (PDF)

9/12/2017: Regression Trees for Cumulative Incidence Functions | Youngjoo Cho, University of Wisconsin - Milwaukee (PDF)

4/18/2017: Youth Violence and Current Attempts at CHW to Reduce the Burden | Michael Levas, Medical College of Wisconsin

4/11/2017: Propensity Score Matching for Clustered Data | Mi-Ok Kim, University of California San Francisco (PDF)

3/28/2017: Regression and Causal Models for the Composite Endpoint | Lu Mao, University of Wisconsin Madison (PDF)

2/7/2017: Evaluating a School-Based Bystander Intervention:Can time-dependent confounders help us understand? | Heather Bush, University of Kentucky (PDF)

2016 Seminar Series
11/29/2016: Log-linear Bayesian Additive Regression Trees | Jared S. Murray, Carnegie Mellon University (PDF)

11/8/2016: Understanding Causal Effects of a Treatment on Survival in Observational Studies with Unmeasured Confounding | Fan Yang, University of Chicago (PDF)

11/1/2016: Statistical Learning Methods for Complex Data: Targeted Local Classification and Risk Stratification for Censored Outcomes | Yuanjia Wang, Columbia University (PDF)

9/6/2016: An Improved Survival Estimator for Censored Medical Costs Using Kernel Methods | Shuai Chen, University of Wisconsin Madison (PDF)

3/22/2016: Latent Space Models for Dynamic Networks | Yuguo Chen, Univeristy of Illinois at Urbana-Champaign (PDF)

3/1/2016: Estimating and Testing High-Dimensional Mediation Effects in Epigenetic Studies | Lei Liu, Northwestern University (PDF)