Special Seminars

Special Seminars

Date Speaker Title OBJECTIVES

2022-23 SEMINARS

May 29, 2023 Aviane Auguste    
May 24, 2023 Michael Asamoah-Boaheng Examining the Epidemiology of Obstructive
Airway Diseases among visible minority
population in Canada and sub-Saharan Africa –
Experiences from previous research
May 23, 2023 Tawanda Chivese Hyperglycaemia in pregnancy–
a window into the present and the future
April 24, 2023 Hiroshi Mamiya Data Science Approaches to Advance Equitable Healthy Ccities Research  
April 19, 2023 Rui (Ray) Fu Machine learning for health researchers: beyond the FOMO (fear of missing out)  
April 14, 2023 Michael Webster-Clark Emerging Applications for Tools to Improve External Validity  
April 13, 2023 Alton Russell Informing targeted public health measures with data-driven decision modeling  
March 31/ April 1 Sahir Bhatnagar Special Research Talk & Lecture  
March 23, 2022 - Joint seminar EBOH/Psychiatry Louise Arsenault

With a little help from my friends: Importance of social relationships in adulthood tested in 2 nationally-representative cohorts


2019 Seminars

September 13, 2019 Anthony Miller Preventing Cancer in Children and Youths  
February 11, 2019 Slawa Rokicki Impact of Ethiopia's Minimum Age of Marriage Law on Adolescent Reproductive Health:
A Quasi-Experimental Study
February 18, 2019 Lindsay Kobayashi Early-life Influences on Cognitive Aging
from a Global Perspective
February 28, 2019 Nicole Basta

From Imperfect Immunity to Vaccine Hesitancy: Evaluating the Impact of Vaccines & Vaccination Programs

March, 1, 2019 Julia Wolfson A recipe for health: Understanding the Role of Cooking for Healthy Eating in the Modern Food System  


November 2, 2018 Shirin Golchi

Computational Techniques for Bayesian Adaptive Randomized Trials

November 12, 2018 Walter Dempsey

The Stratified Micro-Randomized Trial Design:Sample Size Considerations for Testing Nested Causal Effects of Time-Varying Treatment

November 20, 2018 Mohammad Jafari Jozani Developing a NewRank-Based Quantile Regression Methodology for Monitoring the Prevalence of Osteoporosis  
November 26, 2018 Shixiao Zhang Causal Inference with Missing Data: a Multiply Robust Empirical Likelihood Approach  

September 17, 2018


Frank E. Harrell Jr., Vanderbilt University

The Central Limit Theorem, Testing for Normality, and Other Misleading Ideas  
September 27, 2018 David Salkever Long-Term Earning Impacts of Supported Employment for Medicaid Recipients with SMI

1. Understand the application of 2-part models for regressions with outcomes that are non-negative.

2. Appreciate the value of administrative data on outcomes for long-term program assessments.

3. Understand the content and objectives of supported employment programs for persons with severe and chronic mental disorders.

May 10, 2018 Etsuji Suzuki

How Could the Sufficient-Cause Model Advance Our Understanding of Etiology?

1. To learn about the link between the sufficient-cause model and the potential-outcome model;

2. To understand subtle differences between accelerating etiologic proportion and total etiologic proportion;

3. To discuss that time is an underlying notion in biomedical research.

March 28, 2018 Alissa Koski Female Genital Cutting: Recent Trends in Prevalence, Attitudes, and Policy Approaches

This seminar will address the following questions:

1. What is female genital cutting and how common is it?

2. What are people's attitudes toward genital cutting in countries where it is widely practiced?

3. What are arguments for and against "medicalizing" female genital cutting as a harm reduction strategy?

March 1, 2018 Sahir Bhatnagar Betting on Sparsity  
February 28, 2018 Zhuoyu Wang Modeling Conditional Dependence among Multiple Diagnostic Tests  
January 16, 2018 Paul J. Villeneuve More Than A Walk In The Park: How Access To Nature Impacts The Health Of Canadian Urbanites

1. Be able to describe and understand the different pathways whereby access to nature in urban area impacts population health.

2. Understand the challenges in characterizing exposure to natural spaces in urban areas, and to have an awareness of the current and novel methods to estimate these exposures.

3. Be informed of findings from several recent Canadian epidemiological studies, and identify priorities for further research.


December 18, 2017 David B. Richardson Cancer Mortality Among Workers In The International Nuclear Workers Study (INWORKS)

1. An introduction to some of the major epidemiological studies of radiation exposed populations.

2. Understand how radiation exposures are assessed in occupational setting.

3. Learn about the types of health effects associated with ionizing radiation exposures.

December 14, 2017 Tianxi Li

Statistical Tools for Analyzing Network-Linked Data

1. To propose a new general cross-validation strategy for networks, based on repeatedly removing edge values at random and then applying matrix completion to reconstruct the full network.

2. To obtain theoretical guarantees for this method under a low rank assumption on the underlying edge probability matrix, and show that the method is computationally efficient and performs well for a wide range of network tasks, in contrast to previously developed approaches that only apply under specific models. Several real-world examples will be discussed throughout the talk, including the effect of friendship networks on adolescent marijuana usage, phrases that can be learned with the help of a collaboration network of statisticians as well as statistician communities extracted from a citation network.


December 6, 2017 Joseph Antonelli

Bayesian Variable Selection for Multi-Dimensional Semiparametric Regression Models

1. The exposure-response relationship between an outcome and some exposures, such as some metals, can exhibit complex, nonlinear forms, since some exposures can be beneficial and detrimental at different ranges of exposure.

2. To estimate the health effects of complex mixtures we propose sparse tensor regression, which uses tensor products of marginal basis functions to approximate complex functions.

3. To induce sparsity using multivariate spike and slab priors on the number of exposures that make up the tensor factorization. We allow the number of components required to estimate the health effects of multiple pollutants to be unknown and estimate it from the data. The proposed approach is interpretable, as we can use the posterior probabilities of inclusion to identify pollutants that interact with each other. We illustrate our approach's ability to estimate complex functions using simulated data, and apply our method to a study of the association between exposure to metal mixtures and neurodevelopment.

November 22, 2017 Andriy Derkach Simplified Power Calculations for Genetic Association Studies

1. To approximate power of linear and quadratic tests to varying degree of accuracy using a smaller number of key parameters.

2. To develop a mathematical framework to obtain bounds on the genetic architecture of an underlying trait given results from a genome-wide study.

3. To observe important implications for lack or a limited number of findings in many currently reported studies.

September 7, 2017 Yan Kestens    Data Public Health, Healthy Cities: Challenges and Opportunities

1. To further awareness of the potential contributions of public health to the development of healthy cities.

2. To become familiar with some spatial analytic and sensor-based methods of collecting relevant data on environments and health behaviors.

3. To better understand, through urban interventions, how environments translate into health profiles and health inequalities.

September 25, 2017 Tia M. Palermo Economic Well-Being, Adolescent Empowerment, and Pathways of Impact

1. Describe impacts of cash transfers on poverty reduction and adolescent health and well-being

2. Identify pathways of impact between cash transfer programmes and adolescent health.

3. Summarize limitations of cash transfers in improving adolescent well-being and gaps in the evidence base.

September 29, 2017

Dimitra Panagiotoglou

Data for Health Services Research: The good, the not-so-good and the messy

1. Define the three types of data health services researchers regularly encounter.

2. Describe an appropriate method to study a natural experiment.

3. Discuss challenges in developing performance measures.

October 5, 2017 Geneviève Cadieux Towards Evidence-Informed Screening Guidelines, Programs and Policies

1. Define  screening and contrast it to related concepts including case-finding and surveillance.

2. Describe two biases and two harms specific to screening.

3. Use a published framework to explain key considerations for decision-making about screening.

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