Seth Himelhoch, MD, "Hepatitis C Virus - Risk Assessment and Treatment Considerations Among People with Serious Mental Illness"
Time: 12:00 PM Location: 251 BRB II/III
Thomas B. Jansson, M.D., Ph.D.
Professor, Head of the Division for Basic Reproductive Sciences
and Vice Chair of Research at the Department of Obstetrics and Gynecology
University of Colorado Denver
The role of mTOR signaling in placental nutrient sensing and maternal-fetal resource allocation
Problem Based Learning
Mentor: Edward Behrens, MD, PhD
Toll-like receptor 9 and interferon-gamma receptor signaling suppress the B cell fate of uncommitted progenitors in mice"
Cancer Metabolism – Basic Biology and Translational Opportunities
Assitant Professor of Dermatology
Michael Cho: Shared VH1-46 gene usage in pemphigus vulgaris: implications for disease development
Christoph Ellebrecht: Defining clonal relationships among anti-desmoglein 3 isotype repertoires in pemphigus vulgaris
Class of '62, JMB
Nikolaus Grigorieff, Ph.D. (Janella Farm/Brandeis), "The power of Cryo-EM: between hype and reality"
"Addressing issues associated with evaluating prediction models for survival endpoints based on the concordance statistic"
Ming Yang, PhD Assistant Professor Division of Biostatistics and Bioinformatics Penn State University
Abstract: Prediction models for disease risk and prognosis play an important role in biomedical research, where evaluating their predictive accuracy in the presence of censored data is of substantial interest. The standard concordance (c) statistic has been extended to provide a summary measure of predictive accuracy for a models for survival outcomes. Motivated by a prostate cancer study, we address several issues associated with evaluating prediction models for survival outcomes based on c-statistic with a focus on estimators using the technique of inverse probability of censoring weighting (IPCW). Compared to the existing work, we provide the complete results on the asymptotic properties of the IPCW estimators under the assumption of coarsening at random (CAR) and propose a sensitivity analysis in the case of noncoarsening at random (NCAR). In addition, we extend the IPCW approach as well as the sensitivity analysis to the setting of high-dimensional data. We apply the proposed approaches to assess predictive accuracy of prediction models for cancer recurrence after prostatectomy, and show that the estimated predictive accuracy for all models of interest is sensitive to the NCAR assumption but the model with best predictive accuracy is not. We further evaluate the performance of the proposed methods in both low-dimensional data and high-dimensional data settings through simulations.
Chief, Laboratory of Systems Biology and Lymphocyte Biology Section National Institute of Allergy and Infectious Diseases, National Institutes of Health “Using advanced dynamic and multiplex static imaging to probe innate and adaptive immunity in vivo”
Austrian Auditorium, CRB
Professor of Pathology/Molecular Microbiology & Immunology
Head, Division of Pathobiology & Immunology
Vaccine & Gene Therapy Institute
Oregon Health & Science University School of Medicine
“Bench to Bedside: Clinical Development of Cytomegalovirus Vectors”
CPHI Seminar Series: "From Disease to Health: Population Based Experience of a Major Community Health System" with Sandra Brooks, MD, MBA