research
∙
01/04/2023
Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior
Deep learning methods have gained popularity in recent years through the...
share
research
∙
12/21/2022
A Workflow for Lipid Nanoparticle (LNP) Formulation Optimization Using Designed Mixture-Process Experiments and Self-Validated Ensemble Models (SVEM)
This work summarizes a Quality by Design (QbD) styled approach to the op...
research
∙
03/18/2020
A Diagnostic for Bias in Linear Mixed Model Estimators Induced by Dependence Between the Random Effects and the Corresponding Model Matrix
We explore how violations of the often-overlooked standard assumption th...
research
∙
06/21/2018
Avoiding Bias Due to Nonrandom Scheduling When Modeling Trends in Home-Field Advantage
Existing approaches for estimating home-field advantage (HFA) include mo...
research
∙
10/15/2017