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An introduction to Pragmatic Reproducible Research for Translational Science

Link coming soon

Presented by: Luke Rasmussen, MS, Leah Welty, PhD, and Eric Whitley, BA, Northwestern University, 11/9/2023

ArcGIS location-allocation analysis as a tool for evaluating disparities in mammography screening facilities

Presented by: Jessica Webster, MPH, Drexel University, 2/2/2023

Creating a Graphical Logic Model

Link coming soon

Presented by: Sue Giancola, PhD, University of Delaware, 8/27/2024

Dashboards in Excel Workshop

Data analysis Techniques for Analyzing Clinical Genomics Data

Data Integration Strategies for Interoperable Precision Medicine

Deep Learning for Text Classification in Electronic Health Records

Delaware Medicaid Research

Deploying AI/ML Solutions for Clinical Trials Recruitment in High Value Care

Dimension reduction and robust nonparametric methods for high dimensional survival data with applications to cancer genomic studies

Estimating the impact of patient-level risk factors and time-varying hospital unit on healthcare associated Clostridioides difficile infection using cross-classified multilevel models

Expanding aiNsect’s data footprint for equitable health outcomes in our lifetime (link coming soon)

Introduction to Bayesian Statistics for Investigators

Introduction to Mediation Analysis

Introduction to Multi-Level Modeling for Investigators (link coming soon)

Machine Learning for Causal Inference

Mathematical Modeling and Data Science Methods in Dynamics of the Tear Film on the Eye’s Surface

Mediation Analysis and its Application in Medicine

Multivariate Analysis for Investigators

Network Analysis: A Methodological Approach for Studying Collaborations in Healthcare Systems

Post-hoc Mixture Models of the Best Linear Unbiased Predictors (BLUP) From Linear Mixed-Effects Models: An Approach for Clustering Unbalanced Longitudinal Data with Irregularly Spaced Intervals

Predictive Analytics using the PEDSnet Common Data Model

Principal Component Analysis for Investigators (link coming soon)

Solving the two population SIR model to provide early estimates of peak and duration of a COVID-19 wave

Supervise Machine Learning Algorithms Applied to High-Frequency Ventilation Data for the Prediction of Blood Gas Results

Wastewater and Pathogens: Using the Past to Inform the Future

Workflow Analysis: Are We Opening Pandora’s Box