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Combining School-Catchment Area Models with Geostatistical Models for the Analysis of School Malaria Survey Data: Inferential Benefits and Limitations

April 14, 2022

Speakers:

Emanuele Giorgi, Lancaster University

School-based sampling has been used for decades in Sub Saharan Africa (SSA) to inform targeted responses for malaria and neglected tropical disease

Planning and Learning From Interventions

April 7, 2022

Speakers:

Caroline Uhler, MIT

Massive data collection holds the promise of a better understanding of complex phenomena and ultimately, of better decisions.

Estimands and Estimation of COVID-19 Vaccine Effectiveness Under the Test-Negative Design: Connections to Causal Inference

March 31, 2022

Speakers:

Mireille Schnitzer, Université de Montréal

The test-negative design (TND) is routinely used for the monitoring of seasonal flu vaccine effectiveness.

Using Electronic Health Records for Scientific Research: Promises and Perils

April 4, 2022

Speakers:

Bhramar Mukherjee

Electronic Health Records linked with other auxiliary data sources hold tremendous potential for conducting real time actionable research.

Understanding Animal Movement with State-Space Models

March 28, 2022

Speakers:

Marie Auger-Méthé

Movement data have become essential for our understanding of animal ecology. However, such data are associated with a broad range of challenges.

What is a Randomization Test?

March 23, 2022

Speakers:

Qingyuan Zhao, University of Cambridge

The meaning of randomization tests has become obscure in statistics education and practice over the last century.

Set-Based Inference in Modern Genetics Studies

March 17, 2022

Speakers:

Ryan Sun, Texas MD Anderson Cancer Centre

Modern genetics datasets continue to increase in size and complexity, with publicly accessible sources such as the UK Biobank now offering informat

Privacy and Disclosure Control in the U.S. Census

March 14, 2022

Speakers:

Steven Ruggles

Ever since the first census in 1790, Americans have expressed concerns about the census’s invasion of privacy. In response, the U.S.

Machine Learning & Causal Inference to Improve Community Health in East Africa

February 28, 2022

Speakers:

Laura Balzer

Many studies face the dual challenges of missing data and small sample sizes.

2022 Toronto Workshop on Reproducibility

February 23, 2022 to February 25, 2022

CANSSI Ontario, and the Data Sciences Institute at the University of Toronto (U of T) are excited t

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