Frontiers in Biostatistics Seminar January 12, 2021 1:00PM Jing Ning, PhD Associate Professor. Department of Biostatistics Division of Quantitative Sciences The University of Texas M.D. Anderson Cancer Center Register at: https://bit.ly/FIBJan12 Abstract: Bias sampling mechanisms are commonly encountered in applications where the subjects in a target population are not given an equal chance to be selected, […]
February 9, 2021 1:00PM ET Keaven Anderson, PhD Scientific AVP, Methodology Research, Biostatistics at Merck Group Sequential Design Assuming Delayed Benefit Abstract: We consider an asymptotic approach to design of group sequential trials with a potentially delayed effects. Logrank, weighted logrank tests and combination tests are of primary interest, but we also consider restricted mean […]
Frontiers in Biostatistics Seminar March 9, 2021 1:00PM Rui Duan, PhD Assistant Professor of Biostatistics Harvard TH Chan School of Public Health Distributed Statistical Learning and Inference in EHR and Other Healthcare Datasets Abstract: The growth of availability and variety of healthcare data sources has provided unique opportunities for data integration and evidence synthesis, which […]
Frontiers in Biostatistics Seminar May 11, 2021 1:00PM Jianhua Hu, PhD Professor, Biostatistics (in Medicine and in the Herbert Irving Comprehensive Cancer Center) Director, Cancer Biostatistics Program Columbia University Register at: http://bit.ly/FIBMay21 Abstract: Applications of single-cell RNA sequencing in various biomedical research areas have been blooming. This new technology provides unprecedented opportunities to study disease […]
June 8, 2021 1:00PM Lorenzo Trippa, PhD Associate Professor Department of Biostatistics, Harvard T.H. Chan School of Public Health Department of Data Science, Dana-Farber Cancer Institute The Use of External Control Data for Predictions and Interim Analyses in Clinical Trials YouTube video now available.
Tuesday September 14, 2021 1:00PM Eastern Time Holly Janes, Ph.D. Professor, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center Professor, Public Health Sciences Division, Fred Hutchinson Cancer Research Center YouTube video now available.
Tuesday, October 19, 2021 1:00pm Eastern Time Meredith Regan, ScD Associate Professor Department of Data Science, Dana-Farber Cancer Institute, Harvard Medical School Treatment-free Survival as a Novel Outcome Measure of Immuno-oncology-based Therapy YouTube Link
Nathanael Fillmore is the Associate Director for Machine Learning and Advanced Analytics at the VA Boston Healthcare System’s Cooperative Studies Program Informatics Center. He leads a data science team focused on using machine learning and data science methods, in combination with the VA’s large clinical, genomic, and imaging databases, to generate knowledge and resources that […]
Friday February 4, 2022 1:00PM Eastern Time Register. Jian Hu PhD Candidate, Department of Biostatistics, Epidemiology and Informatics University of Pennsylvania ABSTRACT: The advent of high-throughput next-generation sequencing (NGS) technologies has transformed our understanding of cell biology and human disease. As NGS has been adopted earliest by the scientific community, its use has now become […]
Tuesday, February 8, 2022 1:00pm Eastern Time YouTube Video Elizabeth Garrett-Mayer, PhD, FSCT Vice President Center for Research and Analytics (CENTRA) Dr. Garrett-Mayer joined ASCO in 2017 as CENTRA’s Division Director for Biostatistics and Research Data Governance and became CENTRA’s first Vice President in 2022. CENTRA leads ASCO’s research efforts, including the TAPUR Study, ASCO’s […]
Tuesday February 15, 2022 1:00PM Eastern Time William Lotter, PhD Vice President of Machine Learning, RadNet, Inc. Chief Technology Officer & Co-Founder, DeepHealth, Inc. Register. Screening mammography has been estimated to reduce breast cancer mortality by 20-40%, but significant opportunities remain for improving access and overall quality. Artificial intelligence (AI) has the potential to deliver […]
Thursday February 24, 2022 1:00PM Eastern Time Michele Peruzzi, PhD Postdoctoral Associate, Department of Statistical Science, Duke University Register. Abstract: In this talk, I will consider the problem of fitting Bayesian models with spatial random effects to large scale multivariate multi-type data from satellite imaging, land-based weather and air quality sensors, and citizen science, with […]
