Biostatistics Seminars - Winter 2020

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 visitors, 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 - Winter 2020 will take place from 3:30 to 4:30 PM on WEDNESDAYS in Room 24 at Purvis Hall (unless otherwise stated).  For SPECIAL SEMINARS please see "SPECIAL SEMINARS" section for date, room and time details.

Date Speaker Title
January 8, 2020 Michael Wallace Measurement Error and Precision Medicine
January 15, 2020 Michele Santacatterina Kernel Optimal Orthogonality Weighting: A Balancing Approach to Estimating Effects of Continuous Treatments
January 22, 2020 Juliana Schulz

Doubly Robust Estimation of Optimal Dosing Strategies

NO BIOS Seminar
January 29, 2020

Ana-Maria Staicu
CRM Coloque at HEC
Longitudinal Functional Regression: Tests of Significance
February 5, 2020 Timothy Evans Harnessing AI for Global Health: Opportunities and Obstacles
February 12, 2020 Denis Talbot Confounding Adjustment for Multi-Level Treatment Comparisons under Lack of Positivity and Unknown Model Specification
February 19, 2020 David Campbell Overcoming Statistical Challenges from Multimodal Likelihoods
February 26, 2020 Genviève Lefebvre Comparing Logistic and Log-Binomial Models for Causal Mediation Analyses of Binary Mediators and Rare Binary Outcomes: Moving Towards Exact Regression-Based Approaches
March 11, 20201 Paramita Saha Chaudhuri Monitoring with Repeatedly Measured Marker: Assessing Incremental Value of Additional Measurements
March 18, 2020 LeiLei Zeng Multistate Analysis from Cross-Sectional and Auxiliary Samples
March 25, 2020 Cindy Feng On Estimations and Diagnosis of Zero-Inflated Regression Models: Pitfalls and Potential Solutions





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