1 citations · 1 across the 4 of their papers we have counts for
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Causal inference via propensity scores for case-control studies
Yan Liu, Anita Koushik, Philippe Boileau +5
Propensity score methods for causal inference are increasingly being used in cohort and experimental designs, but their development and uptake in outcome-dependent sampling schemes…
Evaluating causal indirect effects when mediators are left-censored by assay limit of quantification
Cong Jiang, Michael D. Hughes, Nima S. Hejazi
Causal mediation analysis is essential for disentangling the mechanisms by which investigational therapeutic and preventive agents impact clinical outcomes. However, the measuremen…
A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness under the Test-Negative Design: Analysis of Québec Administrative Data
Cong Jiang, Denis Talbot, Sara Carazo +1
The test-negative design (TND), which is routinely used for monitoring seasonal flu vaccine effectiveness (VE), has recently become integral to COVID-19 vaccine surveillance, notab…
Estimating dynamic treatment regimes for ordinal outcomes with household interference: Application in household smoking cessation
Cong Jiang, Mary Thompson, Michael Wallace
The focus of precision medicine is on decision support, often in the form of dynamic treatment regimes (DTRs), which are sequences of decision rules. At each decision point, the de…