Biostatistics Seminars

The Division of Biostatistics seminar series includes research-focused talks by visiting faculty from a wide range of institutions, and faculty from the University of Minnesota. All seminars are free and open to the public. Biostatistics students organize the Student Seminar Series, where students present and discuss their work in progress.

Date/Time/Location Name Affiliation Title
Wed, Sept 21, 2016 3:30 p.m.
Mayo A110
Laura Boehm Vock Gustavus Adolphus College Spatial Variable Selection Methods for Investigating Acute Health Effects of Fine Particulate Matter Components
Wed, Sept 28, 2016 3:30 p.m.
Mayo A110
Nolan A. Wages University of Virginia Early-phase Design for Combination Immunotherapies in Oncology
Wed, Oct 5, 2016 3:30 p.m.
Mayo A110
Timothy D. Johnson University of Michigan Bayesian Semi-Parametric Modeling of Near Infra-Red Spectroscopy Data
Wed, Oct 19, 2016 3:30 p.m.
Mayo A110
Laura Le, Ellyn Buchanan, & Mary Jetter University of Minnesota Incorporating Active Learning in the Classroom
Wed, Oct 26, 2016 3:30 p.m.
Mayo A110
Lan Liu University of Minnesota Novel Criteria to Exclude the Surrogate Paradox and their Optimalities
Wed, Nov 2, 2016 3:30 p.m.
Mayo A110
Michele Guindani University of California, Irvine Bayesian Approaches for the Analysis of fMRI Data and Imaging Genetics
Fri, Nov 18, 2016 10:00 a.m.
Moos 5-125
Kristin Linn University of Pennsylvania Confounding in Imaging-based Predictive Modeling
Wed, Nov 30, 2016 3:30 p.m.
Mayo A110
Maria DeYoreo Duke University Dynamic Ordinal Regression Modeling
Fri, Dec 2, 2016 10:00 a.m.
Moos 2-520
Benjamin Risk Statistical and Applied Mathematical Sciences Institute and the University of North Carolina, Chapel Hill Modeling Dependence in Neuroimaging Data
Fri, Dec 9, 2016 10:00 a.m.
Moos 2-520
Kean Ming Tan Princeton University Replicates in High Dimensions, With Applications to Latent Variable Graphical Models
Mon, Jan 9, 2017 3:30 p.m.
Mayo A301
Sandra Safo Emory University Statistical Methods for Integrative Analysis of High Dimensional Data Types
Fri, Jan 13, 2017 10:00 a.m.
Moos 5-125
Guanhua Chen Vanderbilt University Personalized Dose Finding Using Outcome Weighted Learning
Wed, Jan 18, 2017 3:30 p.m.
Moos 2-620
Jiawei Bai Johns Hopkins University Wearable Devices: Statistical Methods and Applications
Wed, Jan 25, 2017 3:30 p.m.
Moos 2-620
Yuan Huang Yale University Promoting Similarity of Sparsity Structures in Integrative Analysis
Fri, Jan 27, 2017 10:00 a.m.
Moos 5-125
Thomas Murray University of Texas MD Anderson Cancer Center Robust Treatment Comparison Based on Utilities of Semi-competing Risks in Non-small-cell Lung Cancer
Wed, Feb 1, 2017 3:30 p.m.
Moos 2-620
Ashley Petersen University of Washington Extracting Neurons from Calcium Imaging Data
Fri, Feb 3, 2017 10:00 a.m.
Moos 5-125
Sha Cao University of Georgia Sparse Dictionary Learning with Prior Gene Network Knowledge for Tumor Tissue Deconvolution
Wed, Feb 8, 2017 3:30 p.m.
Moos 2-620
Matthew Bryan University of Pennsylvania Methods for Modeling Differences in Rates of Change in Nonlinear Outcomes with Application to Childhood Growth
Fri, Feb 10, 2017 10:00 a.m.
Mayo D199
Michelle Ross University of Pennsylvania Handling Rare Outcomes and Exposures with Pseudo-trials for Large Observational Studies
Fri, Feb 17, 2017 10:00 a.m.
Mayo A110
Erika Helgeson University of North Carolina Nonparametric Cluster Significance Testing Using a Unimodal Null Distribution
Wed, Mar 1, 2017 3:30 p.m.
Moos 2-620
Leslie McClure Drexel University Sample Size Re-Estimation: Is Bigger Always Better?
Wed, Mar 8, 2017
3:30 p.m.
Moos 2-620
ZhengZheng (Jane) Tang Vanderbilt University A General Framework for Association Analysis of Microbial Communities on a Taxonomic Tree
Wed, Mar 22, 2017 3:30 p.m.
Moos 2-620
Michael Epstein Emory University Genetic Analysis of Multivariate Phenotypes
Wed, Mar 29, 2017 3:30 p.m.
Moos 2-620
Matthew Richey St. Olaf  College Responses to the Prescription Opioid Epidemic
Mon, Apr 3, 2017 3:30 p.m.
Moos 2-620
Yuehua Cui Michigan State University Statistical Analysis of Gene-environment Interactions: A Semi-parametric Perspective
Wed, Apr 19, 2017 3:30 p.m.
Moos 2-620
Mikael Kuusela University of Chicago Shape-constrained Uncertainty Quantification in Statistical Inverse Problems with an Application in High Energy Physics
Fri, Apr 21, 2017
10:00 a.m.
Mayo A110
Kelly Zou Pfizer Inc. Real-World Evidence in the Era of Big Data
Wed, Apr 26, 2017 3:30 p.m.
Moos 2-620
Vadim Zipunnikov Johns Hopkins Bloomberg School of Public Health Multilevel Functional and Matrix-variate Methods for Modeling Accelerometry Data
Wed, May 3, 2017 3:30 p.m.
Moos 2-620
Paul Albert National Institutes of Health Modeling Longitudinal Data with a Random Change Point and No Time-zero: Applications to Inference and Prediction in Single and Consecutive Labor Curves