Biostatistics Seminars - Fall 2023

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.

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

Biostatistics Seminars - Fall 2023 will be held either hybrid (in-person/Zoom) or virtual (Zoom) on WEDNESDAYS at 2001 McGill College; Room 1140 from 3:30-4:30PM. Please refer to announcements for details.


Date Speaker Title Recording
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
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
Jessica Gronsbell (U of Toronto)
Life after machine learning in health and medicine




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