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. The format will be varied: seminar presentations, journal club, discussions of work in progress, interact with guest speakers, etc.
| Date |
Speaker |
Title |
Recording |
WINTER 2024
|
|
|
| Jan 10, 2024 |
Anne-Laure Boulesteix (U of Munich) |
Towards reliable empirical evidence in methodological biostatistical research: recent developments and remaining challenges |
Recording |
| Jan 17, 2024 |
Jingyi Jessica Li (UCLA) |
ClusterDE: a post-clustering differential expression (DE) method robust to false-positive inflation caused by double dipping
|
Recording |
| Jan 24, 2024 |
Caleb Miles (Columbia U) |
Leveraging multi-study, multi-outcome data to improve external validity and efficiency of clinical trials for managing schizophrenia |
Recording |
| Jan 31, 2024 |
Lucy Gao (UBC) |
Data thinning to avoid double dipping |
Recording |
| Feb 7, 2024 |
Kelly Ramsay (York U) |
Nonparametric and Robust Inference for Covariance Operators |
Recording |
| Feb 14, 2024 |
Xu Shi (U of Michigan) |
Double Negative Control Inference in Test-Negative Design Studies of Vaccine Effectiveness |
Recording |
| Feb 21, 2024 (Rm 1201) |
Farouk Nathoo (U of Victoria) |
Neural Network Feature Extraction and Bayesian Group Sparse Multitask Regression for Imaging Genetics |
Recording |
| Feb 28, 2024 |
Xin He (U of Chicago) |
Causal-TWAS: a new method for integrative analysis of expression QTLs and GWAS detects causal genes of complex traits |
Recording |
| Mar 6, 2024 |
NO SEMINAR - MARCH BREAK |
|
| Mar 13, 2024 |
Lara Maleyeff (McGill) |
An Adaptive Enrichment Design Using Bayesian Model Averaging for the Identification of Tailoring Variables |
Recording |
| Mar 20, 2024 |
Shariq Mohammed (Boston U) |
Quantifying Imaging Heterogeneity Via Density Functions with Aapplications in Brain and Pancreatic Cancer Imaging |
N/A |
| Mar 27, 2024 In-Person |
Eric Laber (Duke U) |
Reinforcement Learning for Respondent-Driven Sampling |
Recording |
| Apr 3, 2024 |
Junwei Lu (Harvard) |
Knowledge Graph Embedding with ElectronicHealth Records Data |
Recording |
FALL 2023
|
|
|
| Sept 6, 2023 |
Zhihua Su (U of Florida) |
Envelope-Based Partial Least Squares |
|
| Sept 13, 2023 |
Rui Duan (Harvard T.H. Chan SPH) |
Federated and Transfer Learning for Healthcare Data Integration |
|
| Sept 20, 2023 |
Michael Wallace (U of Waterloo) |
To Find Out More, Press Play: Creating Accessible Statistics Videos |
|
| Sept 27, 2023 |
Kevin Lin (U of Washington) |
Tilted-CCA: Quantifying Common and Distinct Information in Multi-Modal Single-Cell Data via Matrix Factorization |
|
| Oct 4, 2023 |
Paul Gustafson (U of British Columbia) |
Statistical modelling of threats to validity: Inference, sensitivity analysis, or stuck in the middle with Bayes? |
|
| Oct 11, 2023 |
NO SEMINAR - FALL BREAK |
|
|
| Oct 18, 2023 |
Silvia Calderazzo (DKFZ-Heildelberg) |
External information borrowing in clinical trial hypothesis testing: a frequentist-Bayesian view |
|
| Oct 25, 2023 |
Jessie X. Jeng (NC State U) |
Transfer learning with false negative control improves polygenic risk prediction |
|
| Nov 1, 2023 |
Aya Mitani (U of Toronto) |
Analysis of complex multilevel dental data with informative tooth loss |
|
Nov 8, 2023
In-Person (JOINT EBOH/CORE SEMINAR) |
Sebastien Haneuse (HSPH Harvard) |
Double sampling for informatively missing data in EHR-based comparative effectiveness research |
Recording |
| Nov 15, 2023 |
Linbo Wang (U of Toronto) |
The synthetic instrument: From sparse association to sparse causation |
N/A |
| Nov 22, 2023 |
James Hanley (McGill) & Supratik Roy (U College Cork - Ireland) |
Prob [Down Syndrome | Parents' Ages]: Statistical Sudoku and Analyses of Penrose's Data (J. Genetics 1933)
|
|
Nov 29, 2023
In-Person |
Jessica Gronsbell (U of Toronto) |
Life after machine learning in health and medicine |
|