USC Biostatistics
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57:10
Jim Gauderman: Deep Learning and Polygenic Risk Scores
USC Biostatistics
139 views • 1 month ago
1:09:00
Juan Pablo Lewinger: Targeted learning overview: a path toward greater data analysis rigor
USC Biostatistics
56 views • 1 month ago
1:06:37
Palmer: The Changing Landscape of Early-Phase Cell and Immunotherapy Clinical Trials in Oncology
USC Biostatistics
605 views • 1 month ago
58:57
Hughes-Halbert: Integrating Social Determinants of Health into Biostatistics Research and Practice
USC Biostatistics
312 views • 1 month ago
54:17
Arun Durvasula: Understanding gene-environment interactions in complex traits and disease
USC Biostatistics
219 views • 1 month ago
49:22
Brian Kwan: Constrained multivariate functional principal components analysis
USC Biostatistics
109 views • 1 month ago
56:50
Chun Li: Random Thoughts from a Biostatistician Trying to Catch up with Al
USC Biostatistics
391 views • 1 month ago
47:50
Mingzhi Ye: Happy Scientist Workshop #23: Introduction to Machine Learning and PyTorch
USC Biostatistics
42 views • 1 month ago
1:01:37
Nick Mancuso: Happy Scientist Workshop #22: How I learned to stop worrying and love autodiff
USC Biostatistics
54 views • 1 month ago
1:00:02
David Conti, Ph.D.: Issues in Risk Prediction Using Polygenic Risk Scores Across Populations
USC Biostatistics
183 views • 6 months ago
56:02
J. Williams and R. Anderson: Inside Baseball: Statistical Analysis in a Baseball Front Office
USC Biostatistics
69 views • 7 months ago
53:30
Dr. Chun Li: Rank Regression for Continuous Outcomes
USC Biostatistics
174 views • 7 months ago
54:23
Shanpeng Li: "Novel Approaches to Joint Modeling of Longitudinal and Time-to-Event Data"
USC Biostatistics
301 views • 8 months ago
53:40
Happy Scientist Seminar: Unlocking the Power of AI: Copilot in R
USC Biostatistics
56 views • 8 months ago
43:02
2023 R Bootcamp day 3: Automatic reports with Rmarkdown
USC Biostatistics
82 views • 9 months ago
59:58
2023 R Bootcamp day 2: Data wrangling fundamentals
USC Biostatistics
108 views • 9 months ago
59:00
2023 R Bootcamp Day 1: What is R? A motivating example of data viz
USC Biostatistics
173 views • 9 months ago
50:52
Michael Pazzani: “Explanation in Artificial Intelligence and Medicine”
USC Biostatistics
118 views • 11 months ago
58:59
Patrick Turley: “A General Approach to Adjusting Genetic Studies for Assortative Mating”
USC Biostatistics
84 views • 11 months ago
57:04
Serghei Mangul: “Systematic Benchmarking of Omics Computational Tools and Databases”
USC Biostatistics
102 views • 11 months ago
43:25
Ver Steeg and Marmarelis: “Latent Factor Discovery with Transcriptomics Data”
USC Biostatistics
102 views • 11 months ago
49:00
Natalie DelRocco: “Two Contributions to Statistical Improvement of Clinical Research”
USC Biostatistics
82 views • 11 months ago
58:11
Huaiyu Mi: Annotation Query (AnnoQ): An easy-to-use tool for large-scale genetic variant annotation
USC Biostatistics
47 views • 11 months ago
55:35
Fernandez: Study Design and Statistical Modeling to Enable Data-Driven Policy in the Opioid Epidemic
USC Biostatistics
24 views • 11 months ago
44:48
Millstein: “FDR Confidence Interval Selection and Adjustment for Large-Scale Hypothesis Testing”
USC Biostatistics
41 views • 11 months ago
51:08
Lu Zhang, Getting started with Stan: A hands-on introduction to the "8 schools" problem
USC Biostatistics
64 views • 11 months ago
53:27
Masoud Fallah-Shorshani: “Estimating Traffic Noise and Developing an Air Quality Noise Based Model”
USC Biostatistics
36 views • 11 months ago
55:38
Kelly Street: “Analysis of Single Cell T-Cell Receptor Sequencing”
USC Biostatistics
2.3K views • 11 months ago
48:35
Doc Edge: “Using Gene Genealogies to Understand Complex Traits”
USC Biostatistics
103 views • 11 months ago
1:03:36
Jason Moore: “Accessible artificial intelligence for data science”
USC Biostatistics
52 views • 11 months ago
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