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Contributed Posters

Invited E-Poster Session II

Sun, Aug 4, 9:35 PM - 10:30 PM

Ryan PetersonChair

20 Presentations

01 Air Pollution and Human Health: A Causal Framework with Process-Informed Stochastic Interventions

9:35 PM - 10:30 PM

Nathan Wikle (University of Iowa)

02 Bayesian integrative analysis for cancer pathological imaging data with sample selection

9:35 PM - 10:30 PM

03 Characterizing substructure via mixture modeling of genetic similarity in large-scale summary statistics

9:35 PM - 10:30 PM

Audrey Hendricks (University of Colorado Denver)

04 Design considerations for subgroup analyses in cluster-randomized trials

9:35 PM - 10:30 PM

Brian Williamson (Kaiser Permanente Washington Health Research Institute)

05 Design Framework for Clinical Trials with Survival Endpoints

9:35 PM - 10:30 PM

Fang-Shu Ou (Mayo Clinic)

06 Developing Methane Emissions Estimate from Oil and Gas Facilities via Data Integration

9:35 PM - 10:30 PM

Bailey Fosdick (Colorado School of Public Health)

07 Emerging tensor-and network-structured problems in single cell genomics

9:35 PM - 10:30 PM

Sunduz Keles (University of Wisconsin-Madison)

08 Exploring preferential sampling and agent-based models in estimating migration patterns over heterogeneous landscapes

9:35 PM - 10:30 PM

Lance Waller (Emory University)

09 General Structural Location-Scale Models

9:35 PM - 10:30 PM

Brian Keller (University of Missouri)

10 Generalized Data Thinning Using Sufficient Statistics

9:35 PM - 10:30 PM

Jacob Bien (University of Southern California)

11 Identifying multimodal networks to understand the molecular mechanisms of addiction with a unified statistical approach that spans the experimental framework

9:35 PM - 10:30 PM

Robyn Ball (The Jackson Laboratory)

12 Penalized mixed models to adjust for unobserved confounding in high dimensional regression

9:35 PM - 10:30 PM

Patrick Breheny (University of Iowa)

13 Platform trials after the COVID era

9:35 PM - 10:30 PM

Lori Dodd (NIAD/DCR/BRB)

14 Probability Distribution Informed Extensions for Classical Model Selection Methods: Moving Beyond the 'Rule of 2'

9:35 PM - 10:30 PM

15 Quantifying Sensitivity to Selection on Unobservables: Refining Oster's Coefficient of Proportionality

9:35 PM - 10:30 PM

Kenneth Frank (Michigan State University)

16 Recent developments in the calibration of probability forecasts

9:35 PM - 10:30 PM

Christopher Franck (Virginia Tech)

17 Teaching Data Science, AI, and Machine Learning with Big Data - Bias, Ethics and Unintended Consequences

9:35 PM - 10:30 PM

Melinda Higgins (Emory University, School of Nursing)

18 The Key Role of Statisticians in Countering Misinformation and Scientific Communication in the Pandemic

9:35 PM - 10:30 PM

Jeffrey Morris (University of Pennsylvania, Perelman School of Medicine)

19 Towards a validated measure of data science reasoning

9:35 PM - 10:30 PM

Mine Cetinkaya-Rundel (Duke University + Posit)

20 Use of a Hawkes process to address clustering of epileptic seizures

9:35 PM - 10:30 PM

Elizabeth Juarez-Colunga (University of Colorado, Denver)

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