Â鶹AV

Biostatistics

Seminars - Fall 2024/Winter 2025

Some of the purposes of these sessions are: to promote biostatistics and biostatistical methodology; serve as a learning opportunity for both students and faculty; foster communication, collaboration, professionalism, career development.ÌýThe format will be varied: seminar presentations, journal club, discussions of work in progress, interact with guest speakers, etc.

Who is invited: biostatisticians and biostatisticians in training; all other hyphenated-, unhyphenated- and soon-to-be-statisticians with interests in applied statistics.

PLEASE NOTE: The Fall 2024/Winter 2025 Seminar Series will be held in hybrid format (in-person/Zoom) on Wednesdays from 3:30 to 4:30 PM, at the SPGH, 2001 Â鶹AV College, Room 1201 or 1140. Please refer to announcement titles below for details.

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Date Speaker Title Recording

FALLÌý2024

Ìý Ìý
Sept 4, 2024 Lu Xia (Michigan State U) Estimating Equation-Based Approaches for Complex Longitudinal Data: High-Dimensional Inference and Transfer Learning N/A
Sept 11, 2024 Huimin ChengÌý(Boston U) Graphon Cross-Validation with Application to Drug Repurposing
Sept 18, 2024
In-PersonÌý
Audrey Beliveau (UÌýof Waterloo) A Penalization Method for Improving the Parsimony of Network Meta-Analysis Models
Sept 23, 2024
In-Person (Monday)
Zhonghua LiuÌý(Columbia U) Integrating a novel robust Mendelian randomization method for proteomics data analysis and AlphaFold3 for predicting 3D structural alterations
OctÌý2, 2024
In-Person
Rebecca Hubbard (BrownÌýU) Context is king: Addressing informed presence bias in EHR-based research
Oct 9, 2024
In-Person
Eric Laber (Duke U) Bayesian Basket of Bandits Ìý
Oct 16, 2024Ìý NO SEMINARÌý- Thanksgiving Holiday & Reading Week - Oct 14-18, 2024 Ìý
Oct 23, 2024
In-Person
Alex StringerÌý(U of Waterloo) Two New Methods for Nonlinear Regression in Epidemiology and Environmental Toxicology N/A
Oct 30, 2024 Guanghao Qi (UÌýof Washington) Understanding the genetics of complex traits through statistical integration of genetic and genomic data Ìý
Nov 6, 2024 Shu YangÌý(NCSU) Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing Ìý
Nov 13, 2024 Souvik Seal (MUSC) Studying molecular spatial co-expression in Spatial Omics datasets Ìý
Nov 20, 2024 Jack BowdenÌý(U of Exeter) Instrumental Variable methods to target Hypothetical Estimands with longitudinal repeated measures data: Application to the STEP 1 trial Ìý
Nov 27, 2024
In-Person
James HanleyÌý(Â鶹AV) The first ‘nested case-control’ study and the first conditional logistic regression Ìý

WINTER 2025

Ìý Ìý
Jan 8, 2025 Hengrui Cai (UCI) Towards Trustworthy Machine Learning: A Causal Lens on Learning Non-Spuriousness Ìý
Jan 15, 2025
In-Person
Michal Abrahamowicz (Â鶹AV) Data-driven simulations:Ìýa new Quantitative Bias Analysis tool for real-world applications of survival analyses Ìý
Jan 24, 2025
Joint EBOH/CSMQ
(Friday)
Marie DavidianÌý(NCSU) A Generalized Logrank-type Test for Comparison of Treatment Regimes in Sequential Multiple Assignment Randomized Trials Ìý
Jan 29,Ìý2025 PrasadÌýPatil (Boston U) Ìý Ìý
Feb 5, 2025 Zhana DurenÌý(Clemson U) Ìý Ìý
Feb 12, 2025 Ashkan Ertefaie (U of Rochester) Ìý Ìý
Feb 19, 2025 Luke Hagar/Chi-Kuang YehÌý(Â鶹AV) Ìý Ìý
FebÌý26, 2025 Justin SlaterÌý(U of Guelph) Ìý Ìý
Mar 5, 2025 NO SEMINARÌý- Spring Break March 3-7, 2025 Ìý
Mar 12, 2025
In-Person
Himchan Jeong (SFU) Ìý Ìý
Mar 19, 2025
In-Person
Andrea Benedetti/Qihuang Zhang (Â鶹AV)
Oscar Award prediction competition
Ìý
Mar 26, 2025 Yusha LiuÌý(UNC) Ìý Ìý
Apr 2, 2025
In-Person
Daiwei ZhangÌý(UNC) Ìý Ìý

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