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.
Improving the Data Analytic Toolbox for Digital Monitoring and Intervention Studies
Walter Dempsey, PhD, Assistant Professor - Statistics, University of Michigan
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SPARK Seminar Series: Medical Imaging AI: Where do we go from here?
Pranav Rajpurkar, PhD; Assistant Professor of Biomedical Informatics, Harvard Medical School with host Maciej Mazurowski, PhD; Associate Professor in Radiology, Duke University
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From the nucleus to mitochondria: The global orchestration of gene expression
Stirling Churchman
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Double Vision: Developmental Genomics from a Lab and Institute Perspective
Diana Bianch, MD
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Joint NC BERD Seminar: Introduction to R Programming
Bryon Jaeger, PhD
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Making the Most of Single-Cell High-Throughput Chromatin Conformation Capture Data
Sündüz Keleş, PhD, Professor of Statistics, University of Wisconsin-Madison
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AI Health HDS Learning Experience: KESER: Clinical Knowledge Extraction via Sparse Embedding Regression with EHR data
Chuan Hong, PhD. Assistant Professor of Biostatistics & Bioinformatics
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AI Health HDS Learning Experience: KESER: Clinical Knowledge Extraction via Sparse Embedding Regression with EHR data
Chuan Hong, PhD. Assistant Professor of Biostatistics & Bioinformatics
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