Study Design Considerations for Prediction Modeling in Biomedical Research
with Dr. David Elashoff
In-Person
Hosted by: Frontiers in Computational Medicine Seminar Series
Talk Title: Study design considerations for prediction modeling in biomedical research
Abstract:
This talk will review study design principles for research projects that aim to construct prediction models in biomedical sciences. Appropriate study design is crucial for the development of clinically impactful prediction models and errors in study design are often not correctable analytically. Topics will include study populations, experimental design, outcome assessment, sample size considerations and analytic plans. Example will derive from cancer biomarkers and electronic health records prediction models.
Adjunct Professor, Department of Medicine Biostatistics Core, UCLA
Host: Mary Sehl & Zachary Schlamowitz
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