Estimation de la variance des estimateurs semiparamétriques de l’efficacité vaccinale avec le devis test-négatif : étude de simulation.

The test-negative design (TND) is an observational study design that is currently and routinely being used globally to evaluate the effectiveness of vaccines against COVID-19 illness caused by emerging SARS-CoV-2 variants. Recently, more reliable statistical estimators were proposed to get better estimates of vaccine effectiveness. However, no one has yet investigated what statistical methods will best allow us to understand the accuracy of these estimates (which is a fundamental component of statistical analysis). This project proposes to compare different ways to estimate the estimator accuracy using synthetic data generated under a hypothetical TND.

Faculty Supervisor:

Mireille Schnitzer

Student:

Partner:

Université de Bordeaux

Discipline:

Mathematics

Sector:

Pharmaceuticals; Health and Related Sciences & Technology; Artificial Intelligence

University:

Université de Montréal

Program: