The Applied Biostatistics Seminar Series consists of a series of talks with the primary purpose of furthering statistical knowledge on an applied level.
Talks will focus on advances in biostatistical methods and statistical programming techniques and their translation into addressing biomedical research questions. The seminars are open to all members of the Duke community, but primarily geared toward applied statistical researchers.
BERD Seminar: Predictive modeling with multi-modal health data
Matthew Engelhard, Ph.D., MD
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Joint NC BERD Seminar: Interaction and effect modification: what are they and how are they different
Mike Bancks, Ph.D., MPH
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Introduction to Mass Spectrometry Based Proteomics
Eric Soderblom, PhD
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Joint NC BERD Seminar: Nonparametric Curve Estimation: Data Exploration and Inference
J.S. Marron, Ph.D.
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Towards a Mathematical Theory of Development
Geoff Schiebinger
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Knowledge Graph Embedding with Electronic Health Records Data
Junwei Lu, PhD
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BERD Seminar: Introduction to Interrupted Time Series
Kayla Kilpatrick, Emily Poehlein, & Tracy Truong
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Joint NC BERD Seminar: Analysis of a discrete outcome
Nathaniel O'Connell, Ph.D.
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Encoding Physical Properties of the Cytosol
Amy Gladfelter
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