Cancer Biostatistics Monthly Seminar

Scalable Integrative Analysis of Large Biobank and Population-Based Whole Genome Sequencing Studies With Multi-Omics Data Xihong Lin, PhD Professor and former Chair of the Department of Biostatistics,Coordinating Director of the Program in Quantitative Genomics Professor of the Department of StatisticsHarvard UniversityAssociate Member of the Broad Institute of Harvard and MIT The Meeting will be held via Zoom. Join […]

Cancer Biostatistics Monthly Seminar

Novel Empirical Likelihood Inference for the Mean Difference with Right-Censored Data Yichuan Zhao, PhD Professor of Statistics, Department of Mathematics & Statistics Georgia State University   The Meeting will be held via Zoom. Join Zoom Meeting here Meeting ID: 895 4928 6808 Passcode: 0Ky8PEqg Dial by your location         +1 309 205 3325 US         […]

Cancer Biostatistics Monthly Seminar

Time-to-Event Analysis with Unknown Time Origins via Longitudinal Biomarker Registration Tianhao Wang, PhD Assistant Professor, Statistics Rush Alzheimer’s Disease Center Department of Neurological Sciences Rush University Medical Center The Meeting will be held via Zoom. Join Zoom Meeting here Meeting ID: 889 3768 4577 Passcode: YinQNFg0 Dial by your location +1 312 626 6799 US […]

Cancer Biostatistics Monthly Seminar

Examining Smoking and Mood Regulation using Ecological Momentary Assessment (EMA) data and the Mixed-Effects Location Scale (MELS) Model Donald Hedeker, PhD Professor, Department of Public Health Sciences, University of Chicago Donald Hedeker's chief expertise is in the development and use of advanced statistical methods for clustered and longitudinal data, with particular emphasis on mixed-effects models. […]

Cancer Biostatistics Monthly Seminar

PAM-HC: A Bayesian Nonparametric Construction of Hybrid Control for Randomized Clinical Trials Using External Data Yuan Ji, PhD Professor of Biostatistics Department of Public Health Sciences University of Chicago Dr. Yuan Ji graduated from Fudan University with a bachelor in Mathematics, University of Wisconsin – Madison with a PhD in Statistics. He spent 9 years […]

Cancer Biostatistics Monthly Seminar

A statistical framework for differential pseudotime analysis with multiple single-cell RNA-seq samples Dr. Hongkai Ji, PhD Professor Associate Chair Director of the Graduate Program Department of Biostatistics Bloomberg School of Public Health Johns Hopkins University     Abstract Pseudotime analysis with single-cell RNA-sequencing (scRNA-seq) data has been widely used to study dynamic gene regulatory programs […]

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