Seminar Series

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.

Theory Informs Practice: Smoothing Parameters Selection for Smoothing Spline ANOVA Models in Large Samples

Xiaoxiao Sun
Monday, January 22, 2018 - 02:00 at Hock Plaza 8th Floor #8065

Abstract:Large samples have been generated routinely from various sources. Classic statistical models, such as smoothing spline ANOVA models, are not well equipped to analyze such large samples due to expensive computational costs. In particular, the daunting computational costs of selecting smoothing parameters render the smoothing spline ANOVA models impractical. In...
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Cancelled: Tissue specific transcriptome prediction and gene-level association mapping and fine-mapping

Dr. Yongtao Guan
Wednesday, January 17, 2018 - 10:00 at Hock Plaza, 2nd Floor CRTP Classroom

Abstract: Tissue-specific gene expressions have direct relevance to disease phenotypes, and knowing gene expression in disease-relevant tissues is advantageous in both detecting novel associations and fine-mapping known genetic associations. Unfortunately, almost all genome-wide association study (GWAS) datasets have no companion gene expression assay, let alone tissue-specific ones. The idea of...
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Combinatorial Inference

Junei Lu
Monday, January 8, 2018 - 11:00 at Hock Plaza 8th Florr #8065

Abstract: We propose the combinatorial inference to explore the topological structures of graphical models. The combinatorial inference can conduct the hypothesis tests on many graph properties including connectivity, hub detection, perfect matching, etc. On the other side, we also develop a generic minimax lower bound which shows the optimality of...
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Precision Cardiometabolic Care Through Multi-scale Biomedical Data Integration

Jessilyn Dunn, PhD
Thursday, November 30, 2017 - 08:30 at Fitzpatrick Center Schiciano Auditorium Side A

The healthcare landscape faces rising costs and declining health outcomes as a result of a reactive, treatment-centered medical system. In particular, cardiometabolic disease is the leading cause of death and healthcare cost worldwide. Although this condition is often preventable and treatable when detected early, its incidence continues to rise. The...
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Integrative statistical approaches to predict functional effects of variants in non-coding regions of the genome

Iuliana Ionita-Laza, PhD
Tuesday, November 28, 2017 - 10:00 at MSRB 1 Room 001 Ground Level Classroom

Abstract: Understanding the functional effects that genetic variants have in non-coding regions of the genome is a difficult problem, but with great implications for advancing the field of complex trait genetics. Being able to distinguish between variants that play a regulatory function in a tissue or cell type under study,...
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